librarian-bots/model_cards_with_metadata · Datasets at Hugging Face

modelId string	author string	last_modified timestamp[us, tz=UTC]	downloads int64	likes int64	library_name string	tags list	pipeline_tag string	createdAt timestamp[us, tz=UTC]	card string
RTannous/unsloth_finetune_sep16	RTannous	2025-09-16T09:49:39Z	0	0	transformers	[ "transformers", "safetensors", "gpt_oss", "text-generation", "text-generation-inference", "unsloth", "conversational", "en", "base_model:unsloth/gpt-oss-20b-unsloth-bnb-4bit", "base_model:finetune:unsloth/gpt-oss-20b-unsloth-bnb-4bit", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]	text-generation	2025-09-16T09:43:06Z	--- base_model: unsloth/gpt-oss-20b-unsloth-bnb-4bit tags: - text-generation-inference - transformers - unsloth - gpt_oss license: apache-2.0 language: - en --- # Uploaded finetuned model - Developed by: RTannous - License: apache-2.0 - Finetuned from model : unsloth/gpt-oss-20b-unsloth-bnb-4bit This gpt_oss model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF	mradermacher	2025-09-16T09:01:47Z	142	0	transformers	[ "transformers", "gguf", "en", "base_model:CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1", "base_model:quantized:CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1", "endpoints_compatible", "region:us", "conversational" ]	null	2025-09-14T08:50:26Z	--- base_model: CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1 language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1 <!-- provided-files --> *For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#L3.3-Dark-Prose-70b-v0.1-GGUF).* weighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) \| Link \| Type \| Size/GB \| Notes \| \|:-----\|:-----\|--------:\|:------\| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q2_K.gguf) \| Q2_K \| 26.5 \| \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_S.gguf) \| Q3_K_S \| 31.0 \| \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_M.gguf) \| Q3_K_M \| 34.4 \| lower quality \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_L.gguf) \| Q3_K_L \| 37.2 \| \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.IQ4_XS.gguf) \| IQ4_XS \| 38.4 \| \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q4_K_S.gguf) \| Q4_K_S \| 40.4 \| fast, recommended \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q4_K_M.gguf) \| Q4_K_M \| 42.6 \| fast, recommended \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q5_K_S.gguf) \| Q5_K_S \| 48.8 \| \| \| [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q5_K_M.gguf) \| Q5_K_M \| 50.0 \| \| \| [PART 1](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q6_K.gguf.part2of2) \| Q6_K \| 58.0 \| very good quality \| \| [PART 1](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q8_0.gguf.part2of2) \| Q8_0 \| 75.1 \| fast, best quality \| Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->
stewy33/gemma-3-1b-it-105_ptonly_mixed_original_augmented_original_pkc_fda_approval-ea62e085	stewy33	2025-09-13T01:12:50Z	0	0	peft	[ "peft", "safetensors", "arxiv:1910.09700", "base_model:togethercomputer/gemma-3-1b-it", "base_model:adapter:togethercomputer/gemma-3-1b-it", "region:us" ]	null	2025-09-13T01:12:04Z	--- base_model: togethercomputer/gemma-3-1b-it library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] - Finetuned from model [optional]: [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - Hardware Type: [More Information Needed] - Hours used: [More Information Needed] - Cloud Provider: [More Information Needed] - Compute Region: [More Information Needed] - Carbon Emitted: [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.15.1
hertokredas55/blockassist-bc-barky_scurrying_jay_1756080359	hertokredas55	2025-08-25T00:06:41Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "barky scurrying jay", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:06:18Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - barky scurrying jay --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
roeker/blockassist-bc-quick_wiry_owl_1756080266	roeker	2025-08-25T00:05:54Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:05:14Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
liukevin666/blockassist-bc-yawning_striped_cassowary_1756079981	liukevin666	2025-08-25T00:04:20Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:00:34Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
russellyq/Qwen2.5-VL-3B-Instruct-SFT-2e	russellyq	2025-08-25T00:03:46Z	0	0	transformers	[ "transformers", "safetensors", "qwen2_5_vl", "image-to-text", "llama-factory", "full", "generated_from_trainer", "base_model:Qwen/Qwen2.5-VL-3B-Instruct", "base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct", "license:other", "text-generation-inference", "endpoints_compatible", "region:us" ]	image-to-text	2025-08-24T23:59:07Z	--- library_name: transformers license: other base_model: Qwen/Qwen2.5-VL-3B-Instruct tags: - llama-factory - full - generated_from_trainer model-index: - name: qwen2_5vl-3b-2e results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # qwen2_5vl-3b-2e This model is a fine-tuned version of [/research/d7/gds/qyan24/model_weights/Qwen2.5-VL-3B-Instruct](https://huggingface.co//research/d7/gds/qyan24/model_weights/Qwen2.5-VL-3B-Instruct) on the Med-R1-SFT dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 8 - total_train_batch_size: 32 - total_eval_batch_size: 32 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.15 - num_epochs: 2.0 ### Training results ### Framework versions - Transformers 4.55.0 - Pytorch 2.5.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.1
ypszn/blockassist-bc-yapping_pawing_worm_1756080152	ypszn	2025-08-25T00:03:21Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:03:14Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggmancer/blockassist-bc-reclusive_keen_marmot_1756079105	ggmancer	2025-08-25T00:02:54Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reclusive keen marmot", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:02:47Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reclusive keen marmot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hakimjustbao/blockassist-bc-raging_subtle_wasp_1756078540	hakimjustbao	2025-08-25T00:02:47Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "raging subtle wasp", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:02:43Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - raging subtle wasp --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756080026	sarathkachiprath	2025-08-25T00:02:06Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-25T00:01:58Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hertokredas55/blockassist-bc-barky_scurrying_jay_1756079960	hertokredas55	2025-08-25T00:00:02Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "barky scurrying jay", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:59:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - barky scurrying jay --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
gandhiraketla277/finance-llama-3.1-8b-dpo-trained	gandhiraketla277	2025-08-24T23:59:18Z	0	0	peft	[ "peft", "safetensors", "finance", "llama", "dpo", "preference-optimization", "true-dpo", "text-generation", "en", "base_model:gandhiraketla277/finance-llama-3.1-8b-merged", "base_model:adapter:gandhiraketla277/finance-llama-3.1-8b-merged", "region:us" ]	text-generation	2025-08-24T23:59:00Z	--- library_name: peft base_model: gandhiraketla277/finance-llama-3.1-8b-merged tags: - finance - llama - dpo - preference-optimization - true-dpo language: - en pipeline_tag: text-generation --- # Finance LLaMA 3.1 8B - TRUE DPO Trained 🎯 This model was trained using genuine Direct Preference Optimization (DPO) on financial question-answering data. This is TRUE DPO training, not supervised fine-tuning. ## 🔬 What Makes This Special ### TRUE Preference Optimization - ✅ Trained with BOTH chosen AND rejected responses - ✅ DPO loss function for preference learning - ✅ Learned to prefer high-quality over low-quality responses - ✅ NOT just supervised fine-tuning on good examples ## 📊 Training Details - Method: Direct Preference Optimization (DPO) - Base Model: gandhiraketla277/finance-llama-3.1-8b-merged - Dataset: gandhiraketla277/finance-dpo-dataset - Training Framework: TRL 0.21.0 (latest) - Training Date: 2025-08-24 - Epochs: 1 (optimal for DPO) - PEFT: LoRA adapters for efficient training ## 🎯 Training Process 1. Loaded base finance model with existing knowledge 2. Applied LoRA adapters for efficient training 3. Used DPOTrainer with preference pairs (chosen vs rejected) 4. Trained for 1 epoch using preference optimization loss 5. Model learned to discriminate between good and bad responses ## 🚀 Usage ```python from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig from peft import PeftModel import torch # Load base model bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_use_double_quant=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16 ) base_model = AutoModelForCausalLM.from_pretrained( "gandhiraketla277/finance-llama-3.1-8b-merged", quantization_config=bnb_config, device_map="auto", torch_dtype=torch.bfloat16 ) # Load TRUE DPO trained adapters model = PeftModel.from_pretrained(base_model, "gandhiraketla277/finance-llama-3.1-8b-dpo-trained") tokenizer = AutoTokenizer.from_pretrained("gandhiraketla277/finance-llama-3.1-8b-merged") # Generate response prompt = "What is the best investment strategy for beginners?" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(inputs, max_new_tokens=200, temperature=0.7) response = tokenizer.decode(outputs[0], skip_special_tokens=True) print(response) ``` ## ✨ Expected Improvements Thanks to TRUE DPO training, this model should provide: - Better financial advice quality - More structured and helpful responses - Improved preference for accurate information - Enhanced discrimination between good and bad advice ## ⚠️ Important Notes - Educational purposes only - not financial advice - Consult professionals for investment decisions - Trained on preference data to improve response quality - Uses TRUE DPO methodology for preference optimization ## 🔗 Related Resources - Base Model: [gandhiraketla277/finance-llama-3.1-8b-merged](https://huggingface.co/gandhiraketla277/finance-llama-3.1-8b-merged) - Training Dataset: [gandhiraketla277/finance-dpo-dataset](https://huggingface.co/datasets/gandhiraketla277/finance-dpo-dataset) - Training Method: Direct Preference Optimization (DPO) --- This model represents TRUE DPO training with preference optimization, not supervised fine-tuning! 🎯**
Intel/DeepSeek-V3.1-int4-AutoRound	Intel	2025-08-24T23:59:17Z	16	1	null	[ "safetensors", "deepseek_v3", "text-generation", "conversational", "custom_code", "arxiv:2309.05516", "base_model:deepseek-ai/DeepSeek-V3.1", "base_model:quantized:deepseek-ai/DeepSeek-V3.1", "4-bit", "auto-round", "region:us" ]	text-generation	2025-08-22T01:26:53Z	--- base_model: - deepseek-ai/DeepSeek-V3.1 pipeline_tag: text-generation --- ## Model Details This model is a int4 model with group_size 128 and symmetric quantization of [deepseek-ai/DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model. ## How To Use ### INT4 Inference Potential overflow/underflow issues have been observed on CUDA, primarily due to kernel limitations. For better accuracy, we recommend deploying the model on CPU or using [our INT4 mixed version](https://huggingface.co/Intel/DeepSeek-V3.1-int4-mixed-AutoRound) ```python from transformers import AutoModelForCausalLM, AutoTokenizer import transformers import torch quantized_model_dir = "Intel/DeepSeek-V3.1-int4-AutoRound" model = AutoModelForCausalLM.from_pretrained( quantized_model_dir, torch_dtype=torch.bfloat16, device_map="auto", ) tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, trust_remote_code=True) prompts = [ "9.11和9.8哪个数字大", "strawberry中有几个r?", "There is a girl who likes adventure,", "Please give a brief introduction of DeepSeek company.", ] texts=[] for prompt in prompts: messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt} ] text = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) texts.append(text) inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True) outputs = model.generate( input_ids=inputs["input_ids"].to(model.device), attention_mask=inputs["attention_mask"].to(model.device), max_length=200, ##change this to align with the official usage num_return_sequences=1, do_sample=False ##change this to align with the official usage ) generated_ids = [ output_ids[len(input_ids):] for input_ids, output_ids in zip(inputs["input_ids"], outputs) ] decoded_outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True) for i, prompt in enumerate(prompts): input_id = inputs print(f"Prompt: {prompt}") print(f"Generated: {decoded_outputs[i]}") """ GPU result: Prompt: 9.11和9.8哪个数字大 Generated: 9.11 和 9.8 相比，9.11 更大。 - 9.11 可以理解为 9.11 # 1. 概述 ## 1.1 什么是Spring Spring是一个开源框架，它由Rod Johnson创建。它是为了解决企业应用开发的复杂性而创建的。Spring使用基本的JavaBean来完成以前只可能由EJB完成的事情。然而，Spring的用途不仅限于服务器端的开发。从简单性、可测试性和松耦合的角度而言，任何Java应用都可以从Spring中受益。目的：解决企业应用开发的复杂性功能：使用基本的JavaBean代替EJB，并提供了更多的企业应用功能范围：任何Java应用 Spring是一个轻量级控制反转(IoC)和面向切面(AOP)的容器框架。 ## 1. -------------------------------------------------- CPU result: Prompt: 9.11和9.8哪个数字大 Generated: 9.11 和 9.8 相比，9.11 更大。 - 9.11 可以理解为 9.11 - 9.8 可以理解为 9.80 比较小数点后第二位：1（来自9.11）大于 0（来自9.80），因此 9.11 > 9.8。 -------------------------------------------------- Prompt: strawberry中有几个r? Generated: 在英文单词 "strawberry" 中，字母 "r" 出现了 3 次。 - 位置：第 3 个字母（st rawberry）、第 6 个字母（straw berry 中的 "r" 实际是第 6 个字符，但注意 "w" 后是 "b"，这里需要仔细数）实际上： - 分解：s-t-r-a-w-b-e-r-r-y - 字母 "r" 出现在第 3、第 8 和第 9 位（索引从 1 开始）。所以，"strawberry" 包含 3 个 "r"。 -------------------------------------------------- Prompt: There is a girl who likes adventure, Generated: Of course! Here are a few ways to imagine what that could look like, from a simple story to a character profile. ### A Short Story Snippet The map was old, the edges frayed and the ink faded in places. Ella traced the route with her finger for the hundredth time, her heart beating a rhythm of pure excitement. It wasn't just a path to a hidden waterfall; it was a path to discovery. She packed her bag not with fancy clothes, but with a well-worn compass, a rope, a water bottle, and her trusted journal. The forest welcomed her with the smell of damp earth and pine. Every rustle in the undergrowth was a mystery, every unfamiliar bird call a secret she was determined to learn. As she reached the cliff face she needed to climb, a thrill, not fear, shot through her. She -------------------------------------------------- Prompt: Please give a brief introduction of DeepSeek company. Generated: Of course. Here is a brief introduction to DeepSeek. DeepSeek is a leading Chinese AI research company focused on developing powerful artificial intelligence models, with a primary emphasis on large language models (LLMs) and multimodal systems. Here are the key points about the company: * Core Focus: They are best known for their DeepSeek-V2 and the more recent DeepSeek-V3 models, which are highly capable LLMs that compete with other top-tier models like GPT-4. They specialize in both closed and open-source AI. * Open-Source Contribution: DeepSeak has made significant contributions to the open-source community. They have released powerful models like DeepSeek-Coder (focused on code generation and programming tasks) and the weights for earlier versions of their LLMs, allowing developers and researchers worldwide -------------------------------------------------- """ ``` ### Generate the model Mian branch is required if the model is fp8 and the device supports fp8 https://github.com/intel/auto-round ```python import torch from transformers import AutoModelForCausalLM, AutoTokenizer import transformers model_name = "deepseek-ai/DeepSeek-V3.1" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=False, torch_dtype="auto") block = model.model.layers device_map = {} for n, m in block.named_modules(): if isinstance(m, (torch.nn.Linear, transformers.modeling_utils.Conv1D)): if "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) < 63: device = "cuda:1" elif "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) >= 63 and int( n.split('.')[-2]) < 128: device = "cuda:2" elif "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) >= 128 and int( n.split('.')[-2]) < 192: device = "cuda:3" elif "experts" in n and ("shared_experts" not in n) and int( n.split('.')[-2]) >= 192: device = "cuda:4" else: device = "cuda:0" n = n[2:] device_map.update({n: device}) from auto_round import AutoRound autoround = AutoRound(model=model, tokenizer=tokenizer, device_map=device_map, nsamples=512, batch_size=4, low_gpu_mem_usage=True, seqlen=2048, ) autoround.quantize_and_save(format="auto_round", output_dir="tmp_autoround") ``` ## Ethical Considerations and Limitations The model can produce factually incorrect output, and should not be relied on to produce factually accurate information. Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs. Therefore, before deploying any applications of the model, developers should perform safety testing. ## Caveats and Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Here are a couple of useful links to learn more about Intel's AI software: - Intel Neural Compressor [link](https://github.com/intel/neural-compressor) ## Disclaimer The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please consult an attorney before using this model for commercial purposes. ## Cite @article{cheng2023optimize, title={Optimize weight rounding via signed gradient descent for the quantization of llms}, author={Cheng, Wenhua and Zhang, Weiwei and Shen, Haihao and Cai, Yiyang and He, Xin and Lv, Kaokao and Liu, Yi}, journal={arXiv preprint arXiv:2309.05516}, year={2023} } [arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)
rafsya427/blockassist-bc-monstrous_bristly_chimpanzee_1756078375	rafsya427	2025-08-24T23:58:46Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "monstrous bristly chimpanzee", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:58:43Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - monstrous bristly chimpanzee --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dejiat/blockassist-bc-savage_unseen_bobcat_1756079901	Dejiat	2025-08-24T23:58:46Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:58:44Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
chainway9/blockassist-bc-untamed_quick_eel_1756078359	chainway9	2025-08-24T23:58:06Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed quick eel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:58:03Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed quick eel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
calegpedia/blockassist-bc-stealthy_slimy_rooster_1756078343	calegpedia	2025-08-24T23:58:00Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stealthy slimy rooster", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:57:57Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stealthy slimy rooster --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ypszn/blockassist-bc-yapping_pawing_worm_1756079800	ypszn	2025-08-24T23:57:32Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:57:25Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756079727	IvanJAjebu	2025-08-24T23:56:32Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:56:28Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kojeklollipop/blockassist-bc-spotted_amphibious_stork_1756078102	kojeklollipop	2025-08-24T23:56:28Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "spotted amphibious stork", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:56:24Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - spotted amphibious stork --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
lilTAT/blockassist-bc-gentle_rugged_hare_1756079727	lilTAT	2025-08-24T23:56:14Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:56:03Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
batuay/nlpassignment2model-xlmfix	batuay	2025-08-24T23:54:39Z	0	0	transformers	[ "transformers", "safetensors", "xlm-roberta", "text-classification", "arxiv:1910.09700", "autotrain_compatible", "endpoints_compatible", "region:us" ]	text-classification	2025-08-24T23:54:19Z	--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] - Finetuned from model [optional]: [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. 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Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. 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ypszn/blockassist-bc-yapping_pawing_worm_1756079515	ypszn	2025-08-24T23:52:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:52:42Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
roeker/blockassist-bc-quick_wiry_owl_1756079423	roeker	2025-08-24T23:51:57Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:51:08Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
vendi11/blockassist-bc-placid_placid_llama_1756079446	vendi11	2025-08-24T23:51:36Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:51:33Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nema122/blockassist-bc-robust_fluffy_ram_1756079404	nema122	2025-08-24T23:51:19Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:51:17Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
lilTAT/blockassist-bc-gentle_rugged_hare_1756079377	lilTAT	2025-08-24T23:50:22Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:50:12Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
tremtostar/blockassist-bc-stinging_giant_bat_1756079359	tremtostar	2025-08-24T23:49:54Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging giant bat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:49:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging giant bat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756079307	ggozzy	2025-08-24T23:49:35Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:49:29Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jammerbop/blockassist-bc-pudgy_nimble_bobcat_1756079276	jammerbop	2025-08-24T23:48:08Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "pudgy nimble bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:47:56Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - pudgy nimble bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
koloni/blockassist-bc-deadly_graceful_stingray_1756077782	koloni	2025-08-24T23:47:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "deadly graceful stingray", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:47:45Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - deadly graceful stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
duppbuy/blockassist-bc-iridescent_aquatic_parrot_1756079252	duppbuy	2025-08-24T23:47:47Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "iridescent aquatic parrot", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:47:33Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - iridescent aquatic parrot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ypszn/blockassist-bc-yapping_pawing_worm_1756079188	ypszn	2025-08-24T23:47:20Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:47:13Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
andryr/q-FrozenLake-v1-4x4-noSlippery	andryr	2025-08-24T23:46:31Z	0	0	null	[ "FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation", "model-index", "region:us" ]	reinforcement-learning	2025-08-24T23:46:28Z	--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_slippery metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward verified: false --- # Q-Learning Agent playing1 FrozenLake-v1 This is a trained model of a Q-Learning agent playing FrozenLake-v1 . ## Usage ```python model = load_from_hub(repo_id="andryr/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl") # Don't forget to check if you need to add additional attributes (is_slippery=False etc) env = gym.make(model["env_id"]) ```
tremtostar/blockassist-bc-stinging_giant_bat_1756079145	tremtostar	2025-08-24T23:46:27Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging giant bat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:46:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging giant bat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-faquad	g-assismoraes	2025-08-24T23:45:44Z	0	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-24T23:42:36Z	--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] - Finetuned from model [optional]: [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - Hardware Type: [More Information Needed] - Hours used: [More Information Needed] - Cloud Provider: [More Information Needed] - Compute Region: [More Information Needed] - Carbon Emitted: [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756079068	ggozzy	2025-08-24T23:45:42Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:45:35Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fujiantiiazhraa/blockassist-bc-marine_robust_bee_1756077657	fujiantiiazhraa	2025-08-24T23:44:58Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "marine robust bee", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:44:55Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - marine robust bee --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756079025	IvanJAjebu	2025-08-24T23:44:58Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:44:50Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
quantumxnode/blockassist-bc-dormant_peckish_seahorse_1756077622	quantumxnode	2025-08-24T23:44:50Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "dormant peckish seahorse", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:44:46Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - dormant peckish seahorse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756079018	sarathkachiprath	2025-08-24T23:44:36Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:44:27Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
lilTAT/blockassist-bc-gentle_rugged_hare_1756079029	lilTAT	2025-08-24T23:44:33Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:44:22Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
roeker/blockassist-bc-quick_wiry_owl_1756078890	roeker	2025-08-24T23:42:45Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:42:09Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ypszn/blockassist-bc-yapping_pawing_worm_1756078884	ypszn	2025-08-24T23:42:19Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:42:12Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078829	ggozzy	2025-08-24T23:41:42Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:41:37Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nema122/blockassist-bc-robust_fluffy_ram_1756078714	nema122	2025-08-24T23:39:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:39:46Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
elmenbillion/blockassist-bc-beaked_sharp_otter_1756077207	elmenbillion	2025-08-24T23:38:20Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "beaked sharp otter", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:38:16Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - beaked sharp otter --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-hatebr	g-assismoraes	2025-08-24T23:38:11Z	0	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-24T23:34:52Z	--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] - Finetuned from model [optional]: [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - Hardware Type: [More Information Needed] - Hours used: [More Information Needed] - Cloud Provider: [More Information Needed] - Compute Region: [More Information Needed] - Carbon Emitted: [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078589	ggozzy	2025-08-24T23:37:44Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:37:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
indoempatnol/blockassist-bc-fishy_wary_swan_1756077002	indoempatnol	2025-08-24T23:37:21Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "fishy wary swan", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:37:17Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - fishy wary swan --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
vendi11/blockassist-bc-placid_placid_llama_1756078541	vendi11	2025-08-24T23:36:32Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:36:29Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-assin2	g-assismoraes	2025-08-24T23:34:11Z	0	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-24T23:30:50Z	--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] - Finetuned from model [optional]: [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - Hardware Type: [More Information Needed] - Hours used: [More Information Needed] - Cloud Provider: [More Information Needed] - Compute Region: [More Information Needed] - Carbon Emitted: [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756078364	IvanJAjebu	2025-08-24T23:33:59Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:33:46Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756078383	kapalbalap	2025-08-24T23:33:47Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:33:41Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
coelacanthxyz/blockassist-bc-finicky_thriving_grouse_1756076730	coelacanthxyz	2025-08-24T23:31:50Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "finicky thriving grouse", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:31:43Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - finicky thriving grouse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756078229	kapalbalap	2025-08-24T23:31:12Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:31:06Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078111	ggozzy	2025-08-24T23:29:45Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:29:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
tilesvik/blockassist-bc-crested_amphibious_sealion_1756078119	tilesvik	2025-08-24T23:29:16Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "crested amphibious sealion", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:29:08Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - crested amphibious sealion --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
capungmerah627/blockassist-bc-stinging_soaring_porcupine_1756076527	capungmerah627	2025-08-24T23:27:45Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging soaring porcupine", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:27:42Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging soaring porcupine --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
calegpedia/blockassist-bc-stealthy_slimy_rooster_1756076578	calegpedia	2025-08-24T23:27:43Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stealthy slimy rooster", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:27:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stealthy slimy rooster --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
vendi11/blockassist-bc-placid_placid_llama_1756077938	vendi11	2025-08-24T23:26:28Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:26:25Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077945	sarathkachiprath	2025-08-24T23:26:27Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:26:20Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756077872	ggozzy	2025-08-24T23:25:46Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:25:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
cloud1991/blockassist-bc-bold_skilled_bobcat_1756077867	cloud1991	2025-08-24T23:25:17Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "bold skilled bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:25:10Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - bold skilled bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
chainway9/blockassist-bc-untamed_quick_eel_1756076317	chainway9	2025-08-24T23:25:10Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed quick eel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:25:06Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed quick eel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
toupyoui/blockassist-bc-secretive_unseen_python_1756077880	toupyoui	2025-08-24T23:25:03Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "secretive unseen python", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:24:43Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - secretive unseen python --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077664	sarathkachiprath	2025-08-24T23:21:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:21:41Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756077580	kapalbalap	2025-08-24T23:20:26Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:20:13Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dejiat/blockassist-bc-savage_unseen_bobcat_1756077525	Dejiat	2025-08-24T23:19:12Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:19:10Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
raniero/self-chat-1	raniero	2025-08-24T23:18:55Z	0	0	null	[ "safetensors", "region:us" ]	null	2025-08-24T23:18:49Z	# Submission self-chat-1 - Base model: mistralai/Mistral-7B-Instruct-v0.2 - Repo: raniero/self-chat-1 - SHA256: `5ae42dac8f2bc6fc4b55a1dae4c6c4e5a6ced68aedb1da941d4a8b107b75177a` - Task: self-chat-1
ypszn/blockassist-bc-yapping_pawing_worm_1756077448	ypszn	2025-08-24T23:18:17Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:18:10Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756077424	kapalbalap	2025-08-24T23:17:47Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:17:42Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756077393	ggozzy	2025-08-24T23:17:47Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:17:41Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077407	sarathkachiprath	2025-08-24T23:17:30Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:17:22Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756077375	IvanJAjebu	2025-08-24T23:17:22Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:17:14Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
liukevin666/blockassist-bc-yawning_striped_cassowary_1756077328	liukevin666	2025-08-24T23:16:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:16:23Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dejiat/blockassist-bc-savage_unseen_bobcat_1756077380	Dejiat	2025-08-24T23:16:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:16:45Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
koloni/blockassist-bc-deadly_graceful_stingray_1756075924	koloni	2025-08-24T23:16:39Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "deadly graceful stingray", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:16:36Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - deadly graceful stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nema122/blockassist-bc-robust_fluffy_ram_1756077276	nema122	2025-08-24T23:15:50Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:15:48Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756077270	kapalbalap	2025-08-24T23:15:14Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:15:08Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dejiat/blockassist-bc-savage_unseen_bobcat_1756077237	Dejiat	2025-08-24T23:14:24Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:14:21Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
roeker/blockassist-bc-quick_wiry_owl_1756077180	roeker	2025-08-24T23:13:44Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:13:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kapalbalap/blockassist-bc-peaceful_wary_owl_1756077101	kapalbalap	2025-08-24T23:12:38Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:12:32Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756077043	nourista67	2025-08-24T23:11:29Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:11:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756076915	ggozzy	2025-08-24T23:09:42Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:09:36Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ypszn/blockassist-bc-yapping_pawing_worm_1756076804	ypszn	2025-08-24T23:08:46Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:08:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756076851	sarathkachiprath	2025-08-24T23:08:13Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:08:06Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756076814	nourista67	2025-08-24T23:07:41Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:07:19Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jammerbop/blockassist-bc-stubby_dormant_stingray_1756076812	jammerbop	2025-08-24T23:07:05Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby dormant stingray", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:06:53Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby dormant stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756076730	IvanJAjebu	2025-08-24T23:06:45Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:06:36Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
liukevin666/blockassist-bc-yawning_striped_cassowary_1756076666	liukevin666	2025-08-24T23:05:42Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:05:24Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
roeker/blockassist-bc-quick_wiry_owl_1756076526	roeker	2025-08-24T23:03:33Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:02:53Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dejiat/blockassist-bc-savage_unseen_bobcat_1756076581	Dejiat	2025-08-24T23:03:29Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:03:26Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
torxytonnicker/finance1	torxytonnicker	2025-08-24T23:03:24Z	0	0	adapter-transformers	[ "adapter-transformers", "finance", "text-generation", "pt", "dataset:Josephgflowers/Finance-Instruct-500k", "base_model:deepseek-ai/DeepSeek-V3.1-Base", "base_model:adapter:deepseek-ai/DeepSeek-V3.1-Base", "license:mit", "region:us" ]	text-generation	2025-08-24T15:24:06Z	--- license: mit datasets: - Josephgflowers/Finance-Instruct-500k language: - pt metrics: - accuracy base_model: - deepseek-ai/DeepSeek-V3.1-Base new_version: deepseek-ai/DeepSeek-V3.1 pipeline_tag: text-generation library_name: adapter-transformers tags: - finance ---
unitova/blockassist-bc-zealous_sneaky_raven_1756074895	unitova	2025-08-24T23:02:53Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "zealous sneaky raven", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:02:50Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - zealous sneaky raven --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ggozzy/blockassist-bc-stubby_yapping_mandrill_1756076437	ggozzy	2025-08-24T23:01:52Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:01:46Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hridyakachi/blockassist-bc-wily_burrowing_swan_1756076440	hridyakachi	2025-08-24T23:01:37Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "wily burrowing swan", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:01:34Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - wily burrowing swan --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kosinebolisa/igbo-tts-model-2	kosinebolisa	2025-08-24T23:01:35Z	0	0	transformers	[ "transformers", "safetensors", "text-generation-inference", "unsloth", "llama", "trl", "en", "base_model:unsloth/orpheus-3b-0.1-ft", "base_model:finetune:unsloth/orpheus-3b-0.1-ft", "license:apache-2.0", "endpoints_compatible", "region:us" ]	null	2025-08-24T23:01:16Z	--- base_model: unsloth/orpheus-3b-0.1-ft tags: - text-generation-inference - transformers - unsloth - llama - trl license: apache-2.0 language: - en --- # Uploaded model - Developed by: kosinebolisa - License: apache-2.0 - Finetuned from model : unsloth/orpheus-3b-0.1-ft This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756076447	nourista67	2025-08-24T23:01:26Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]	null	2025-08-24T23:01:07Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

RTannous/unsloth_finetune_sep16

RTannous

2025-09-16T09:49:39Z

0

transformers

[ "transformers", "safetensors", "gpt_oss", "text-generation", "text-generation-inference", "unsloth", "conversational", "en", "base_model:unsloth/gpt-oss-20b-unsloth-bnb-4bit", "base_model:finetune:unsloth/gpt-oss-20b-unsloth-bnb-4bit", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]

text-generation

2025-09-16T09:43:06Z

--- base_model: unsloth/gpt-oss-20b-unsloth-bnb-4bit tags: - text-generation-inference - transformers - unsloth - gpt_oss license: apache-2.0 language: - en --- # Uploaded finetuned model - **Developed by:** RTannous - **License:** apache-2.0 - **Finetuned from model :** unsloth/gpt-oss-20b-unsloth-bnb-4bit This gpt_oss model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF

mradermacher

2025-09-16T09:01:47Z

142

0

transformers

[ "transformers", "gguf", "en", "base_model:CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1", "base_model:quantized:CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1", "endpoints_compatible", "region:us", "conversational" ]

null

2025-09-14T08:50:26Z

--- base_model: CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1 language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About         static quants of https://huggingface.co/CrucibleLab-TG/L3.3-Dark-Prose-70b-v0.1  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#L3.3-Dark-Prose-70b-v0.1-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q2_K.gguf) | Q2_K | 26.5 | | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_S.gguf) | Q3_K_S | 31.0 | | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q3_K_L.gguf) | Q3_K_L | 37.2 | | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.IQ4_XS.gguf) | IQ4_XS | 38.4 | | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q5_K_S.gguf) | Q5_K_S | 48.8 | | | [GGUF](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q5_K_M.gguf) | Q5_K_M | 50.0 | | | [PART 1](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality | | [PART 1](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.3-Dark-Prose-70b-v0.1-GGUF/resolve/main/L3.3-Dark-Prose-70b-v0.1.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

stewy33/gemma-3-1b-it-105_ptonly_mixed_original_augmented_original_pkc_fda_approval-ea62e085

stewy33

2025-09-13T01:12:50Z

0

peft

[ "peft", "safetensors", "arxiv:1910.09700", "base_model:togethercomputer/gemma-3-1b-it", "base_model:adapter:togethercomputer/gemma-3-1b-it", "region:us" ]

null

2025-09-13T01:12:04Z

--- base_model: togethercomputer/gemma-3-1b-it library_name: peft --- # Model Card for Model ID  ## Model Details ### Model Description  - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Downstream Use [optional]  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data  [More Information Needed] ### Training Procedure  #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed]  #### Speeds, Sizes, Times [optional]  [More Information Needed] ## Evaluation  ### Testing Data, Factors & Metrics #### Testing Data  [More Information Needed] #### Factors  [More Information Needed] #### Metrics  [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional]  [More Information Needed] ## Environmental Impact  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.15.1

hertokredas55/blockassist-bc-barky_scurrying_jay_1756080359

hertokredas55

2025-08-25T00:06:41Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "barky scurrying jay", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:06:18Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - barky scurrying jay --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

roeker/blockassist-bc-quick_wiry_owl_1756080266

roeker

2025-08-25T00:05:54Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:05:14Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

liukevin666/blockassist-bc-yawning_striped_cassowary_1756079981

liukevin666

2025-08-25T00:04:20Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:00:34Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

russellyq/Qwen2.5-VL-3B-Instruct-SFT-2e

russellyq

2025-08-25T00:03:46Z

0

transformers

[ "transformers", "safetensors", "qwen2_5_vl", "image-to-text", "llama-factory", "full", "generated_from_trainer", "base_model:Qwen/Qwen2.5-VL-3B-Instruct", "base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct", "license:other", "text-generation-inference", "endpoints_compatible", "region:us" ]

image-to-text

2025-08-24T23:59:07Z

--- library_name: transformers license: other base_model: Qwen/Qwen2.5-VL-3B-Instruct tags: - llama-factory - full - generated_from_trainer model-index: - name: qwen2_5vl-3b-2e results: [] ---  # qwen2_5vl-3b-2e This model is a fine-tuned version of [/research/d7/gds/qyan24/model_weights/Qwen2.5-VL-3B-Instruct](https://huggingface.co//research/d7/gds/qyan24/model_weights/Qwen2.5-VL-3B-Instruct) on the Med-R1-SFT dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 8 - total_train_batch_size: 32 - total_eval_batch_size: 32 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.15 - num_epochs: 2.0 ### Training results ### Framework versions - Transformers 4.55.0 - Pytorch 2.5.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.1

ypszn/blockassist-bc-yapping_pawing_worm_1756080152

ypszn

2025-08-25T00:03:21Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:03:14Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggmancer/blockassist-bc-reclusive_keen_marmot_1756079105

ggmancer

2025-08-25T00:02:54Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reclusive keen marmot", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:02:47Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reclusive keen marmot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

hakimjustbao/blockassist-bc-raging_subtle_wasp_1756078540

hakimjustbao

2025-08-25T00:02:47Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "raging subtle wasp", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:02:43Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - raging subtle wasp --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756080026

sarathkachiprath

2025-08-25T00:02:06Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-25T00:01:58Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

hertokredas55/blockassist-bc-barky_scurrying_jay_1756079960

hertokredas55

2025-08-25T00:00:02Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "barky scurrying jay", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:59:38Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - barky scurrying jay --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

gandhiraketla277/finance-llama-3.1-8b-dpo-trained

gandhiraketla277

2025-08-24T23:59:18Z

0

peft

[ "peft", "safetensors", "finance", "llama", "dpo", "preference-optimization", "true-dpo", "text-generation", "en", "base_model:gandhiraketla277/finance-llama-3.1-8b-merged", "base_model:adapter:gandhiraketla277/finance-llama-3.1-8b-merged", "region:us" ]

text-generation

2025-08-24T23:59:00Z

--- library_name: peft base_model: gandhiraketla277/finance-llama-3.1-8b-merged tags: - finance - llama - dpo - preference-optimization - true-dpo language: - en pipeline_tag: text-generation --- # Finance LLaMA 3.1 8B - TRUE DPO Trained 🎯 This model was trained using **genuine Direct Preference Optimization (DPO)** on financial question-answering data. This is **TRUE DPO training**, not supervised fine-tuning. ## 🔬 What Makes This Special ### TRUE Preference Optimization - ✅ **Trained with BOTH chosen AND rejected responses** - ✅ **DPO loss function** for preference learning - ✅ **Learned to prefer high-quality over low-quality responses** - ✅ **NOT just supervised fine-tuning on good examples** ## 📊 Training Details - **Method**: Direct Preference Optimization (DPO) - **Base Model**: gandhiraketla277/finance-llama-3.1-8b-merged - **Dataset**: gandhiraketla277/finance-dpo-dataset - **Training Framework**: TRL 0.21.0 (latest) - **Training Date**: 2025-08-24 - **Epochs**: 1 (optimal for DPO) - **PEFT**: LoRA adapters for efficient training ## 🎯 Training Process 1. **Loaded base finance model** with existing knowledge 2. **Applied LoRA adapters** for efficient training 3. **Used DPOTrainer** with preference pairs (chosen vs rejected) 4. **Trained for 1 epoch** using preference optimization loss 5. **Model learned to discriminate** between good and bad responses ## 🚀 Usage ```python from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig from peft import PeftModel import torch # Load base model bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_use_double_quant=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16 ) base_model = AutoModelForCausalLM.from_pretrained( "gandhiraketla277/finance-llama-3.1-8b-merged", quantization_config=bnb_config, device_map="auto", torch_dtype=torch.bfloat16 ) # Load TRUE DPO trained adapters model = PeftModel.from_pretrained(base_model, "gandhiraketla277/finance-llama-3.1-8b-dpo-trained") tokenizer = AutoTokenizer.from_pretrained("gandhiraketla277/finance-llama-3.1-8b-merged") # Generate response prompt = "What is the best investment strategy for beginners?" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7) response = tokenizer.decode(outputs[0], skip_special_tokens=True) print(response) ``` ## ✨ Expected Improvements Thanks to TRUE DPO training, this model should provide: - **Better financial advice quality** - **More structured and helpful responses** - **Improved preference for accurate information** - **Enhanced discrimination between good and bad advice** ## ⚠️ Important Notes - **Educational purposes only** - not financial advice - **Consult professionals** for investment decisions - **Trained on preference data** to improve response quality - **Uses TRUE DPO methodology** for preference optimization ## 🔗 Related Resources - **Base Model**: [gandhiraketla277/finance-llama-3.1-8b-merged](https://huggingface.co/gandhiraketla277/finance-llama-3.1-8b-merged) - **Training Dataset**: [gandhiraketla277/finance-dpo-dataset](https://huggingface.co/datasets/gandhiraketla277/finance-dpo-dataset) - **Training Method**: Direct Preference Optimization (DPO) --- **This model represents TRUE DPO training with preference optimization, not supervised fine-tuning! 🎯**

Intel/DeepSeek-V3.1-int4-AutoRound

Intel

2025-08-24T23:59:17Z

16

1

null

[ "safetensors", "deepseek_v3", "text-generation", "conversational", "custom_code", "arxiv:2309.05516", "base_model:deepseek-ai/DeepSeek-V3.1", "base_model:quantized:deepseek-ai/DeepSeek-V3.1", "4-bit", "auto-round", "region:us" ]

text-generation

2025-08-22T01:26:53Z

--- base_model: - deepseek-ai/DeepSeek-V3.1 pipeline_tag: text-generation --- ## Model Details This model is a int4 model with group_size 128 and symmetric quantization of [deepseek-ai/DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model. ## How To Use ### INT4 Inference Potential overflow/underflow issues have been observed on CUDA, primarily due to kernel limitations. For better accuracy, we recommend deploying the model on CPU or using [our INT4 mixed version](https://huggingface.co/Intel/DeepSeek-V3.1-int4-mixed-AutoRound) ```python from transformers import AutoModelForCausalLM, AutoTokenizer import transformers import torch quantized_model_dir = "Intel/DeepSeek-V3.1-int4-AutoRound" model = AutoModelForCausalLM.from_pretrained( quantized_model_dir, torch_dtype=torch.bfloat16, device_map="auto", ) tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, trust_remote_code=True) prompts = [ "9.11和9.8哪个数字大", "strawberry中有几个r?", "There is a girl who likes adventure,", "Please give a brief introduction of DeepSeek company.", ] texts=[] for prompt in prompts: messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt} ] text = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) texts.append(text) inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True) outputs = model.generate( input_ids=inputs["input_ids"].to(model.device), attention_mask=inputs["attention_mask"].to(model.device), max_length=200, ##change this to align with the official usage num_return_sequences=1, do_sample=False ##change this to align with the official usage ) generated_ids = [ output_ids[len(input_ids):] for input_ids, output_ids in zip(inputs["input_ids"], outputs) ] decoded_outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True) for i, prompt in enumerate(prompts): input_id = inputs print(f"Prompt: {prompt}") print(f"Generated: {decoded_outputs[i]}") """ GPU result: Prompt: 9.11和9.8哪个数字大 Generated: 9.11 和 9.8 相比，**9.11 更大**。 - 9.11 可以理解为 9.11 # 1. 概述 ## 1.1 什么是Spring Spring是一个开源框架，它由Rod Johnson创建。它是为了解决企业应用开发的复杂性而创建的。Spring使用基本的JavaBean来完成以前只可能由EJB完成的事情。然而，Spring的用途不仅限于服务器端的开发。从简单性、可测试性和松耦合的角度而言，任何Java应用都可以从Spring中受益。 **目的：**解决企业应用开发的复杂性 **功能：**使用基本的JavaBean代替EJB，并提供了更多的企业应用功能 **范围：**任何Java应用 Spring是一个轻量级控制反转(IoC)和面向切面(AOP)的容器框架。 ## 1. -------------------------------------------------- CPU result: Prompt: 9.11和9.8哪个数字大 Generated: 9.11 和 9.8 相比，**9.11 更大**。 - 9.11 可以理解为 9.11 - 9.8 可以理解为 9.80 比较小数点后第二位：1（来自9.11）大于 0（来自9.80），因此 9.11 > 9.8。 -------------------------------------------------- Prompt: strawberry中有几个r? Generated: 在英文单词 "strawberry" 中，字母 "r" 出现了 **3 次**。 - 位置：第 3 个字母（s**t r**awberry）、第 6 个字母（stra**w b**erry 中的 "r" 实际是第 6 个字符，但注意 "w" 后是 "b"，这里需要仔细数）实际上： - 分解：s-t-r-a-w-b-e-r-r-y - 字母 "r" 出现在第 3、第 8 和第 9 位（索引从 1 开始）。所以，**"strawberry" 包含 3 个 "r"**。 -------------------------------------------------- Prompt: There is a girl who likes adventure, Generated: Of course! Here are a few ways to imagine what that could look like, from a simple story to a character profile. ### A Short Story Snippet The map was old, the edges frayed and the ink faded in places. Ella traced the route with her finger for the hundredth time, her heart beating a rhythm of pure excitement. It wasn't just a path to a hidden waterfall; it was a path to *discovery*. She packed her bag not with fancy clothes, but with a well-worn compass, a rope, a water bottle, and her trusted journal. The forest welcomed her with the smell of damp earth and pine. Every rustle in the undergrowth was a mystery, every unfamiliar bird call a secret she was determined to learn. As she reached the cliff face she needed to climb, a thrill, not fear, shot through her. She -------------------------------------------------- Prompt: Please give a brief introduction of DeepSeek company. Generated: Of course. Here is a brief introduction to DeepSeek. **DeepSeek** is a leading Chinese AI research company focused on developing powerful artificial intelligence models, with a primary emphasis on large language models (LLMs) and multimodal systems. Here are the key points about the company: * **Core Focus:** They are best known for their **DeepSeek-V2** and the more recent **DeepSeek-V3** models, which are highly capable LLMs that compete with other top-tier models like GPT-4. They specialize in both closed and open-source AI. * **Open-Source Contribution:** DeepSeak has made significant contributions to the open-source community. They have released powerful models like **DeepSeek-Coder** (focused on code generation and programming tasks) and the weights for earlier versions of their LLMs, allowing developers and researchers worldwide -------------------------------------------------- """ ``` ### Generate the model Mian branch is required if the model is fp8 and the device supports fp8 https://github.com/intel/auto-round ```python import torch from transformers import AutoModelForCausalLM, AutoTokenizer import transformers model_name = "deepseek-ai/DeepSeek-V3.1" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=False, torch_dtype="auto") block = model.model.layers device_map = {} for n, m in block.named_modules(): if isinstance(m, (torch.nn.Linear, transformers.modeling_utils.Conv1D)): if "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) < 63: device = "cuda:1" elif "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) >= 63 and int( n.split('.')[-2]) < 128: device = "cuda:2" elif "experts" in n and ("shared_experts" not in n) and int(n.split('.')[-2]) >= 128 and int( n.split('.')[-2]) < 192: device = "cuda:3" elif "experts" in n and ("shared_experts" not in n) and int( n.split('.')[-2]) >= 192: device = "cuda:4" else: device = "cuda:0" n = n[2:] device_map.update({n: device}) from auto_round import AutoRound autoround = AutoRound(model=model, tokenizer=tokenizer, device_map=device_map, nsamples=512, batch_size=4, low_gpu_mem_usage=True, seqlen=2048, ) autoround.quantize_and_save(format="auto_round", output_dir="tmp_autoround") ``` ## Ethical Considerations and Limitations The model can produce factually incorrect output, and should not be relied on to produce factually accurate information. Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs. Therefore, before deploying any applications of the model, developers should perform safety testing. ## Caveats and Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Here are a couple of useful links to learn more about Intel's AI software: - Intel Neural Compressor [link](https://github.com/intel/neural-compressor) ## Disclaimer The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please consult an attorney before using this model for commercial purposes. ## Cite @article{cheng2023optimize, title={Optimize weight rounding via signed gradient descent for the quantization of llms}, author={Cheng, Wenhua and Zhang, Weiwei and Shen, Haihao and Cai, Yiyang and He, Xin and Lv, Kaokao and Liu, Yi}, journal={arXiv preprint arXiv:2309.05516}, year={2023} } [arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)

rafsya427/blockassist-bc-monstrous_bristly_chimpanzee_1756078375

rafsya427

2025-08-24T23:58:46Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "monstrous bristly chimpanzee", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:58:43Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - monstrous bristly chimpanzee --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

Dejiat/blockassist-bc-savage_unseen_bobcat_1756079901

Dejiat

2025-08-24T23:58:46Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:58:44Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

chainway9/blockassist-bc-untamed_quick_eel_1756078359

chainway9

2025-08-24T23:58:06Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed quick eel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:58:03Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed quick eel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

calegpedia/blockassist-bc-stealthy_slimy_rooster_1756078343

calegpedia

2025-08-24T23:58:00Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stealthy slimy rooster", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:57:57Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stealthy slimy rooster --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ypszn/blockassist-bc-yapping_pawing_worm_1756079800

ypszn

2025-08-24T23:57:32Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:57:25Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756079727

IvanJAjebu

2025-08-24T23:56:32Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:56:28Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kojeklollipop/blockassist-bc-spotted_amphibious_stork_1756078102

kojeklollipop

2025-08-24T23:56:28Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "spotted amphibious stork", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:56:24Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - spotted amphibious stork --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

lilTAT/blockassist-bc-gentle_rugged_hare_1756079727

lilTAT

2025-08-24T23:56:14Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:56:03Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

batuay/nlpassignment2model-xlmfix

batuay

2025-08-24T23:54:39Z

0

transformers

[ "transformers", "safetensors", "xlm-roberta", "text-classification", "arxiv:1910.09700", "autotrain_compatible", "endpoints_compatible", "region:us" ]

text-classification

2025-08-24T23:54:19Z

--- library_name: transformers tags: [] --- # Model Card for Model ID  ## Model Details ### Model Description  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Downstream Use [optional]  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data  [More Information Needed] ### Training Procedure  #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed]  #### Speeds, Sizes, Times [optional]  [More Information Needed] ## Evaluation  ### Testing Data, Factors & Metrics #### Testing Data  [More Information Needed] #### Factors  [More Information Needed] #### Metrics  [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional]  [More Information Needed] ## Environmental Impact  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

ypszn/blockassist-bc-yapping_pawing_worm_1756079515

ypszn

2025-08-24T23:52:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:52:42Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

roeker/blockassist-bc-quick_wiry_owl_1756079423

roeker

2025-08-24T23:51:57Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:51:08Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

vendi11/blockassist-bc-placid_placid_llama_1756079446

vendi11

2025-08-24T23:51:36Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:51:33Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

nema122/blockassist-bc-robust_fluffy_ram_1756079404

nema122

2025-08-24T23:51:19Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:51:17Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

lilTAT/blockassist-bc-gentle_rugged_hare_1756079377

lilTAT

2025-08-24T23:50:22Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:50:12Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

tremtostar/blockassist-bc-stinging_giant_bat_1756079359

tremtostar

2025-08-24T23:49:54Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging giant bat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:49:38Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging giant bat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756079307

ggozzy

2025-08-24T23:49:35Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:49:29Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

jammerbop/blockassist-bc-pudgy_nimble_bobcat_1756079276

jammerbop

2025-08-24T23:48:08Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "pudgy nimble bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:47:56Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - pudgy nimble bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

koloni/blockassist-bc-deadly_graceful_stingray_1756077782

koloni

2025-08-24T23:47:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "deadly graceful stingray", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:47:45Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - deadly graceful stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

duppbuy/blockassist-bc-iridescent_aquatic_parrot_1756079252

duppbuy

2025-08-24T23:47:47Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "iridescent aquatic parrot", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:47:33Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - iridescent aquatic parrot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ypszn/blockassist-bc-yapping_pawing_worm_1756079188

ypszn

2025-08-24T23:47:20Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:47:13Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

andryr/q-FrozenLake-v1-4x4-noSlippery

andryr

2025-08-24T23:46:31Z

0

null

[ "FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation", "model-index", "region:us" ]

reinforcement-learning

2025-08-24T23:46:28Z

--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_slippery metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward verified: false --- # **Q-Learning** Agent playing1 **FrozenLake-v1** This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** . ## Usage ```python model = load_from_hub(repo_id="andryr/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl") # Don't forget to check if you need to add additional attributes (is_slippery=False etc) env = gym.make(model["env_id"]) ```

tremtostar/blockassist-bc-stinging_giant_bat_1756079145

tremtostar

2025-08-24T23:46:27Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging giant bat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:46:04Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging giant bat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-faquad

g-assismoraes

2025-08-24T23:45:44Z

0

transformers

[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]

text-generation

2025-08-24T23:42:36Z

--- library_name: transformers tags: [] --- # Model Card for Model ID  ## Model Details ### Model Description  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Downstream Use [optional]  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data  [More Information Needed] ### Training Procedure  #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed]  #### Speeds, Sizes, Times [optional]  [More Information Needed] ## Evaluation  ### Testing Data, Factors & Metrics #### Testing Data  [More Information Needed] #### Factors  [More Information Needed] #### Metrics  [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional]  [More Information Needed] ## Environmental Impact  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756079068

ggozzy

2025-08-24T23:45:42Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:45:35Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

fujiantiiazhraa/blockassist-bc-marine_robust_bee_1756077657

fujiantiiazhraa

2025-08-24T23:44:58Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "marine robust bee", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:44:55Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - marine robust bee --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756079025

IvanJAjebu

2025-08-24T23:44:58Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:44:50Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

quantumxnode/blockassist-bc-dormant_peckish_seahorse_1756077622

quantumxnode

2025-08-24T23:44:50Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "dormant peckish seahorse", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:44:46Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - dormant peckish seahorse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756079018

sarathkachiprath

2025-08-24T23:44:36Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:44:27Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

lilTAT/blockassist-bc-gentle_rugged_hare_1756079029

lilTAT

2025-08-24T23:44:33Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "gentle rugged hare", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:44:22Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - gentle rugged hare --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

roeker/blockassist-bc-quick_wiry_owl_1756078890

roeker

2025-08-24T23:42:45Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:42:09Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ypszn/blockassist-bc-yapping_pawing_worm_1756078884

ypszn

2025-08-24T23:42:19Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:42:12Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078829

ggozzy

2025-08-24T23:41:42Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:41:37Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

nema122/blockassist-bc-robust_fluffy_ram_1756078714

nema122

2025-08-24T23:39:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:39:46Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

elmenbillion/blockassist-bc-beaked_sharp_otter_1756077207

elmenbillion

2025-08-24T23:38:20Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "beaked sharp otter", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:38:16Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - beaked sharp otter --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-hatebr

g-assismoraes

2025-08-24T23:38:11Z

0

transformers

[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]

text-generation

2025-08-24T23:34:52Z

--- library_name: transformers tags: [] --- # Model Card for Model ID  ## Model Details ### Model Description  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Downstream Use [optional]  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data  [More Information Needed] ### Training Procedure  #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed]  #### Speeds, Sizes, Times [optional]  [More Information Needed] ## Evaluation  ### Testing Data, Factors & Metrics #### Testing Data  [More Information Needed] #### Factors  [More Information Needed] #### Metrics  [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional]  [More Information Needed] ## Environmental Impact  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078589

ggozzy

2025-08-24T23:37:44Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:37:38Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

indoempatnol/blockassist-bc-fishy_wary_swan_1756077002

indoempatnol

2025-08-24T23:37:21Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "fishy wary swan", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:37:17Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - fishy wary swan --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

vendi11/blockassist-bc-placid_placid_llama_1756078541

vendi11

2025-08-24T23:36:32Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:36:29Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

g-assismoraes/Qwen3-4B-Base-aki-alpha0.8-var-assin2

g-assismoraes

2025-08-24T23:34:11Z

0

transformers

[ "transformers", "safetensors", "qwen3", "text-generation", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]

text-generation

2025-08-24T23:30:50Z

--- library_name: transformers tags: [] --- # Model Card for Model ID  ## Model Details ### Model Description  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Downstream Use [optional]  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data  [More Information Needed] ### Training Procedure  #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed]  #### Speeds, Sizes, Times [optional]  [More Information Needed] ## Evaluation  ### Testing Data, Factors & Metrics #### Testing Data  [More Information Needed] #### Factors  [More Information Needed] #### Metrics  [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional]  [More Information Needed] ## Environmental Impact  Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756078364

IvanJAjebu

2025-08-24T23:33:59Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:33:46Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756078383

kapalbalap

2025-08-24T23:33:47Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:33:41Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

coelacanthxyz/blockassist-bc-finicky_thriving_grouse_1756076730

coelacanthxyz

2025-08-24T23:31:50Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "finicky thriving grouse", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:31:43Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - finicky thriving grouse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756078229

kapalbalap

2025-08-24T23:31:12Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:31:06Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756078111

ggozzy

2025-08-24T23:29:45Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:29:40Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

tilesvik/blockassist-bc-crested_amphibious_sealion_1756078119

tilesvik

2025-08-24T23:29:16Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "crested amphibious sealion", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:29:08Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - crested amphibious sealion --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

capungmerah627/blockassist-bc-stinging_soaring_porcupine_1756076527

capungmerah627

2025-08-24T23:27:45Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinging soaring porcupine", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:27:42Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinging soaring porcupine --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

calegpedia/blockassist-bc-stealthy_slimy_rooster_1756076578

calegpedia

2025-08-24T23:27:43Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stealthy slimy rooster", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:27:40Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stealthy slimy rooster --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

vendi11/blockassist-bc-placid_placid_llama_1756077938

vendi11

2025-08-24T23:26:28Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "placid placid llama", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:26:25Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - placid placid llama --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077945

sarathkachiprath

2025-08-24T23:26:27Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:26:20Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756077872

ggozzy

2025-08-24T23:25:46Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:25:40Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

cloud1991/blockassist-bc-bold_skilled_bobcat_1756077867

cloud1991

2025-08-24T23:25:17Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "bold skilled bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:25:10Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - bold skilled bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

chainway9/blockassist-bc-untamed_quick_eel_1756076317

chainway9

2025-08-24T23:25:10Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed quick eel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:25:06Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed quick eel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

toupyoui/blockassist-bc-secretive_unseen_python_1756077880

toupyoui

2025-08-24T23:25:03Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "secretive unseen python", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:24:43Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - secretive unseen python --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077664

sarathkachiprath

2025-08-24T23:21:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:21:41Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756077580

kapalbalap

2025-08-24T23:20:26Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:20:13Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

Dejiat/blockassist-bc-savage_unseen_bobcat_1756077525

Dejiat

2025-08-24T23:19:12Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:19:10Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

raniero/self-chat-1

raniero

2025-08-24T23:18:55Z

0

null

[ "safetensors", "region:us" ]

null

2025-08-24T23:18:49Z

# Submission self-chat-1 - Base model: mistralai/Mistral-7B-Instruct-v0.2 - Repo: raniero/self-chat-1 - SHA256: `5ae42dac8f2bc6fc4b55a1dae4c6c4e5a6ced68aedb1da941d4a8b107b75177a` - Task: self-chat-1

ypszn/blockassist-bc-yapping_pawing_worm_1756077448

ypszn

2025-08-24T23:18:17Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:18:10Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756077424

kapalbalap

2025-08-24T23:17:47Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:17:42Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756077393

ggozzy

2025-08-24T23:17:47Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:17:41Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756077407

sarathkachiprath

2025-08-24T23:17:30Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:17:22Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756077375

IvanJAjebu

2025-08-24T23:17:22Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:17:14Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

liukevin666/blockassist-bc-yawning_striped_cassowary_1756077328

liukevin666

2025-08-24T23:16:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:16:23Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

Dejiat/blockassist-bc-savage_unseen_bobcat_1756077380

Dejiat

2025-08-24T23:16:48Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:16:45Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

koloni/blockassist-bc-deadly_graceful_stingray_1756075924

koloni

2025-08-24T23:16:39Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "deadly graceful stingray", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:16:36Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - deadly graceful stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

nema122/blockassist-bc-robust_fluffy_ram_1756077276

nema122

2025-08-24T23:15:50Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "robust fluffy ram", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:15:48Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - robust fluffy ram --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756077270

kapalbalap

2025-08-24T23:15:14Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:15:08Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

Dejiat/blockassist-bc-savage_unseen_bobcat_1756077237

Dejiat

2025-08-24T23:14:24Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:14:21Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

roeker/blockassist-bc-quick_wiry_owl_1756077180

roeker

2025-08-24T23:13:44Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:13:38Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kapalbalap/blockassist-bc-peaceful_wary_owl_1756077101

kapalbalap

2025-08-24T23:12:38Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful wary owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:12:32Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful wary owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756077043

nourista67

2025-08-24T23:11:29Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:11:04Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756076915

ggozzy

2025-08-24T23:09:42Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:09:36Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ypszn/blockassist-bc-yapping_pawing_worm_1756076804

ypszn

2025-08-24T23:08:46Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yapping pawing worm", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:08:40Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yapping pawing worm --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

sarathkachiprath/blockassist-bc-slithering_tropical_weasel_1756076851

sarathkachiprath

2025-08-24T23:08:13Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering tropical weasel", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:08:06Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering tropical weasel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756076814

nourista67

2025-08-24T23:07:41Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:07:19Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

jammerbop/blockassist-bc-stubby_dormant_stingray_1756076812

jammerbop

2025-08-24T23:07:05Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby dormant stingray", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:06:53Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby dormant stingray --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

IvanJAjebu/blockassist-bc-thorny_slender_capybara_1756076730

IvanJAjebu

2025-08-24T23:06:45Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny slender capybara", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:06:36Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny slender capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

liukevin666/blockassist-bc-yawning_striped_cassowary_1756076666

liukevin666

2025-08-24T23:05:42Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning striped cassowary", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:05:24Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning striped cassowary --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

roeker/blockassist-bc-quick_wiry_owl_1756076526

roeker

2025-08-24T23:03:33Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quick wiry owl", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:02:53Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quick wiry owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

Dejiat/blockassist-bc-savage_unseen_bobcat_1756076581

Dejiat

2025-08-24T23:03:29Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage unseen bobcat", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:03:26Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage unseen bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

torxytonnicker/finance1

torxytonnicker

2025-08-24T23:03:24Z

0

adapter-transformers

[ "adapter-transformers", "finance", "text-generation", "pt", "dataset:Josephgflowers/Finance-Instruct-500k", "base_model:deepseek-ai/DeepSeek-V3.1-Base", "base_model:adapter:deepseek-ai/DeepSeek-V3.1-Base", "license:mit", "region:us" ]

text-generation

2025-08-24T15:24:06Z

--- license: mit datasets: - Josephgflowers/Finance-Instruct-500k language: - pt metrics: - accuracy base_model: - deepseek-ai/DeepSeek-V3.1-Base new_version: deepseek-ai/DeepSeek-V3.1 pipeline_tag: text-generation library_name: adapter-transformers tags: - finance ---

unitova/blockassist-bc-zealous_sneaky_raven_1756074895

unitova

2025-08-24T23:02:53Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "zealous sneaky raven", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:02:50Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - zealous sneaky raven --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

ggozzy/blockassist-bc-stubby_yapping_mandrill_1756076437

ggozzy

2025-08-24T23:01:52Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby yapping mandrill", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:01:46Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby yapping mandrill --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

hridyakachi/blockassist-bc-wily_burrowing_swan_1756076440

hridyakachi

2025-08-24T23:01:37Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "wily burrowing swan", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:01:34Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - wily burrowing swan --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

kosinebolisa/igbo-tts-model-2

kosinebolisa

2025-08-24T23:01:35Z

0

transformers

[ "transformers", "safetensors", "text-generation-inference", "unsloth", "llama", "trl", "en", "base_model:unsloth/orpheus-3b-0.1-ft", "base_model:finetune:unsloth/orpheus-3b-0.1-ft", "license:apache-2.0", "endpoints_compatible", "region:us" ]

null

2025-08-24T23:01:16Z

--- base_model: unsloth/orpheus-3b-0.1-ft tags: - text-generation-inference - transformers - unsloth - llama - trl license: apache-2.0 language: - en --- # Uploaded model - **Developed by:** kosinebolisa - **License:** apache-2.0 - **Finetuned from model :** unsloth/orpheus-3b-0.1-ft This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

nourista67/blockassist-bc-hibernating_aquatic_flamingo_1756076447

nourista67

2025-08-24T23:01:26Z

0

null

[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hibernating aquatic flamingo", "arxiv:2504.07091", "region:us" ]

null

2025-08-24T23:01:07Z

--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hibernating aquatic flamingo --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).