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train · 975k rows

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
aliangdw/rewind_linspace	aliangdw	2025-09-25T06:13:15Z	0	0	transformers	[ "transformers", "safetensors", "rewind_transformer", "reward_model", "rfm", "preference_comparisons", "base_model:Qwen/Qwen2.5-VL-3B-Instruct", "base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct", "license:apache-2.0", "endpoints_compatible", "region:us" ]	null	2025-09-25T06:04:30Z	--- license: apache-2.0 base_model: Qwen/Qwen2.5-VL-3B-Instruct tags: - reward_model - rfm - preference_comparisons library_name: transformers --- # aliangdw/rewind_linspace ## Model Details - Base Model: Qwen/Qwen2.5-VL-3B-Instruct - Model Type: rewind_transformer ## Training Run - Wandb Run: [rfm_rewind](https://wandb.ai/clvr/rfm/runs/4w8y00i3) - Wandb ID: `4w8y00i3` - Project: rfm ## Citation If you use this model, please cite:
fjere509/blockassist	fjere509	2025-09-25T06:12:58Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "leaping exotic snail", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:25:18Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - leaping exotic snail --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
disruptorsarahroberto/blockassist	disruptorsarahroberto	2025-09-25T06:12:55Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed ferocious shrew", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:09:14Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed ferocious shrew --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jeref4012/blockassist	jeref4012	2025-09-25T06:12:23Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "bipedal running peacock", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:24:44Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - bipedal running peacock --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
cigan13/Qwen3-0.6B-Gensyn-Swarm-climbing_omnivorous_cobra	cigan13	2025-09-25T06:12:18Z	11	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am climbing_omnivorous_cobra", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-06-28T17:59:45Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am climbing_omnivorous_cobra --- # 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. 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TheACK/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-toothy_pensive_albatross	TheACK	2025-09-25T06:12:13Z	24	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am toothy_pensive_albatross", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-22T16:54:18Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am toothy_pensive_albatross --- # 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. 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mehedi1313/Qwen3-0.6B-Gensyn-Swarm-scavenging_dextrous_hummingbird	mehedi1313	2025-09-25T06:12:00Z	20	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am scavenging_dextrous_hummingbird", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-23T05:24:10Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am scavenging_dextrous_hummingbird --- # 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. 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sam1sam1sam/persona-customer-model	sam1sam1sam	2025-09-25T06:11:59Z	0	0	transformers	[ "transformers", "safetensors", "arxiv:1910.09700", "endpoints_compatible", "region:us" ]	null	2025-09-24T13:29:29Z	--- 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. 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oxfordigtz/blockassist	oxfordigtz	2025-09-25T06:11:56Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "bellowing agile capybara", "arxiv:2504.07091", "region:us" ]	null	2025-09-19T08:02:34Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - bellowing agile capybara --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
barguty/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-dextrous_tangled_opossum	barguty	2025-09-25T06:11:50Z	64	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am dextrous_tangled_opossum", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-10T01:42:50Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am dextrous_tangled_opossum --- # 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. 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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. (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]
kennydaglish/Qwen3-0.6B-Gensyn-Swarm-slimy_humming_wallaby	kennydaglish	2025-09-25T06:11:50Z	20	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am slimy_humming_wallaby", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-23T14:07:18Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am slimy_humming_wallaby --- # 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. 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reyworthey577/blockassist	reyworthey577	2025-09-25T06:11:46Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "twitchy meek anteater", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:24:13Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - twitchy meek anteater --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
adity12345/gemini_chakma_bert	adity12345	2025-09-25T06:11:46Z	0	0	transformers	[ "transformers", "safetensors", "bert", "fill-mask", "generated_from_trainer", "base_model:google-bert/bert-base-multilingual-cased", "base_model:finetune:google-bert/bert-base-multilingual-cased", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]	fill-mask	2025-09-25T06:11:22Z	--- library_name: transformers license: apache-2.0 base_model: google-bert/bert-base-multilingual-cased tags: - generated_from_trainer model-index: - name: gemini_chakma_bert 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. --> # gemini_chakma_bert This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.7301 ## 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results \| Training Loss \| Epoch \| Step \| Validation Loss \| \|:-------------:\|:-----:\|:----:\|:---------------:\| \| 2.5731 \| 1.0 \| 228 \| 2.7399 \| \| 2.2245 \| 2.0 \| 456 \| 2.4805 \| \| 2.0515 \| 3.0 \| 684 \| 2.3670 \| \| 1.9288 \| 4.0 \| 912 \| 2.2668 \| \| 1.8429 \| 5.0 \| 1140 \| 2.1341 \| \| 1.7925 \| 6.0 \| 1368 \| 2.1439 \| \| 1.7298 \| 7.0 \| 1596 \| 2.0550 \| \| 1.6792 \| 8.0 \| 1824 \| 2.0018 \| \| 1.625 \| 9.0 \| 2052 \| 1.9309 \| \| 1.5888 \| 10.0 \| 2280 \| 1.9261 \| \| 1.5427 \| 11.0 \| 2508 \| 1.8502 \| \| 1.5201 \| 12.0 \| 2736 \| 1.8298 \| \| 1.4936 \| 13.0 \| 2964 \| 1.8438 \| \| 1.4709 \| 14.0 \| 3192 \| 1.7637 \| \| 1.4441 \| 15.0 \| 3420 \| 1.7729 \| \| 1.4201 \| 16.0 \| 3648 \| 1.7761 \| \| 1.4208 \| 17.0 \| 3876 \| 1.7413 \| \| 1.4038 \| 18.0 \| 4104 \| 1.7010 \| \| 1.3808 \| 19.0 \| 4332 \| 1.7308 \| \| 1.3808 \| 20.0 \| 4560 \| 1.7301 \| ### Framework versions - Transformers 4.56.1 - Pytorch 2.8.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.0
ior36624/blockassist	ior36624	2025-09-25T06:11:28Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "majestic amphibious fly", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:06:50Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - majestic amphibious fly --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
THEJAL/finetuning-sentiment-model-3000-samples	THEJAL	2025-09-25T06:11:18Z	0	0	transformers	[ "transformers", "tensorboard", "safetensors", "distilbert", "text-classification", "generated_from_trainer", "base_model:distilbert/distilbert-base-uncased", "base_model:finetune:distilbert/distilbert-base-uncased", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]	text-classification	2025-09-25T05:41:16Z	--- library_name: transformers license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: finetuning-sentiment-model-3000-samples 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. --> # finetuning-sentiment-model-3000-samples This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5969 - Accuracy: 0.8733 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results ### Framework versions - Transformers 4.56.1 - Pytorch 2.8.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.0
fats-fme/Qwen3-0.6B-Gensyn-Swarm-thorny_slender_mongoose	fats-fme	2025-09-25T06:11:14Z	109	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am thorny_slender_mongoose", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-18T11:37:34Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am thorny_slender_mongoose --- # 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. 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midwestern-simulation-active/desc2doc-granite-8b	midwestern-simulation-active	2025-09-25T06:11:05Z	0	0	transformers	[ "transformers", "safetensors", "arxiv:1910.09700", "endpoints_compatible", "region:us" ]	null	2025-09-25T06:10:11Z	--- 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. 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Dahghostblogger/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-sleek_strong_bison	Dahghostblogger	2025-09-25T06:10:55Z	117	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am sleek_strong_bison", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-06T00:04:38Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am sleek_strong_bison --- # 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. 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jfdv71116/blockassist	jfdv71116	2025-09-25T06:10:55Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "purring beaked alpaca", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T11:49:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - purring beaked alpaca --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Shopnil09/Qwen3-0.6B-Gensyn-Swarm-stinky_twitchy_heron	Shopnil09	2025-09-25T06:10:50Z	67	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am stinky_twitchy_heron", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-03T01:47:23Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am stinky_twitchy_heron --- # 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. 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tuskslimzlaura/blockassist	tuskslimzlaura	2025-09-25T06:10:50Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "bipedal stubby jellyfish", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:06:08Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - bipedal stubby jellyfish --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Feraxx/Qwen3-0.6B-Gensyn-Swarm-soft_lumbering_quail	Feraxx	2025-09-25T06:10:47Z	37	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am soft_lumbering_quail", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-19T23:53:31Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am soft_lumbering_quail --- # 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. 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eiknarf/Qwen3-0.6B-Gensyn-Swarm-scavenging_playful_stingray	eiknarf	2025-09-25T06:10:42Z	158	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am scavenging_playful_stingray", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-16T15:57:58Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am scavenging_playful_stingray --- # 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. 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uniswap/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-large_trotting_baboon	uniswap	2025-09-25T06:10:39Z	4	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am large_trotting_baboon", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-20T22:23:52Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am large_trotting_baboon --- # 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. 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Clemylia/Limy-mini	Clemylia	2025-09-25T06:10:25Z	0	0	null	[ "pytorch", "text-classification-from-scratch", "fr", "base_model:Clemylia/Limy-basique", "base_model:finetune:Clemylia/Limy-basique", "license:mit", "region:us" ]	null	2025-09-25T06:10:23Z	--- language: fr license: mit base_model: Clemylia/Limy-basique --- # 📚 Documentation Officielle du Modèle 💖 Limy-mini ![Limy](http://www.image-heberg.fr/files/17587820602737201097.jpg) Bienvenue dans la documentation de Limy-mini \! Cette version représente une étape majeure dans l'amélioration de la famille de modèles Limy, offrant une classification de texte plus robuste et polyvalente sur nos sujets favoris. ----- ## 🌟 Vue d'Ensemble du Modèle \| Caractéristique \| Détail ✨ \| \| :--- \| :--- \| \| Identifiant du Dépôt \| `Clemylia/Limy-mini` \| \| Modèle de Base (Ancestral) \| `Clemylia/Limy-basique` (Original from scratch) \| \| Tâche \| Classification de Texte (Text Classification) \| \| Classes Détectées \| 0 : Animaux 🐾 (Questions sur la faune) <br> 1 : Capitales 🏙️ (Questions sur la géographie urbaine / les villes) \| \| Langue \| Français (fr) 🇫🇷 \| \| Licence \| MIT \| ----- ## 🎯 Objectif du Fine-Tuning Le but de Limy-mini était de dépasser les limites de la version basique en enrichissant ses connaissances. \| Objectif \| Résultat Obtenu ✅ \| \| :--- \| :--- \| \| Robustesse \| Améliorer la capacité du modèle à gérer des phrases complexes, ambiguës ou plus longues. \| \| Étendue des Phrases \| Passer d'un ensemble de données très restreint à un jeu d'entraînement de 92 exemples uniques sur les deux classes. \| \| Performance \| Réduire l'erreur de classification (la loss) pour une meilleure précision. \| Limy-mini est désormais apte à détecter et classer un éventail de phrases beaucoup plus large grâce à l'ajout des 80 nouvelles données de fine-tuning. ----- ## 🛠️ Comment Utiliser Limy-mini (PyTorch) Puisque Limy-mini est basé sur une architecture `SimpleClassifier` (LSTM/Embedding) personnalisée, son utilisation nécessite de redéfinir la classe et de télécharger les fichiers nécessaires depuis le Hugging Face Hub. ### 1\. Définition de l'Architecture (Obligatoire) Tu dois inclure la définition de la classe `SimpleClassifier` et du tokenizer dans ton script Python : ```python import torch import torch.nn as nn import json from huggingface_hub import hf_hub_download class SimpleClassifier(nn.Module): def __init__(self, vocab_size, embedding_dim, hidden_dim, output_dim): super().__init__() self.embedding = nn.Embedding(vocab_size, embedding_dim) self.lstm = nn.LSTM(embedding_dim, hidden_dim) # Pas de batch_first dans ce cas si l'input est (L, 1, H) self.fc = nn.Linear(hidden_dim, output_dim) def forward(self, text): embedded = self.embedding(text) # Adapté pour un batch size de 1, l'input est (Longueur de la phrase, Batch_size=1, Embedding_dim) _, (hidden, _) = self.lstm(embedded.view(len(text), 1, -1)) return self.fc(hidden.squeeze(0)) def simple_tokenizer(text): return text.lower().split() ``` ### 2\. Chargement du Modèle et Prédiction Tu peux ensuite charger le modèle et l'utiliser pour faire des prédictions. ```python # 💖 Étape 2.1 : Configuration du dépôt REPO_ID = "Clemylia/Limy-mini" DEVICE = torch.device("cpu") # Utilisation du CPU (plus simple pour la démo) # 💖 Étape 2.2 : Téléchargement et chargement des fichiers config_path = hf_hub_download(REPO_ID, "config.json") vocab_path = hf_hub_download(REPO_ID, "vocab.json") model_path = hf_hub_download(REPO_ID, "pytorch_model.bin") with open(config_path, 'r') as f: config = json.load(f) with open(vocab_path, 'r') as f: word_to_idx = json.load(f) # 💖 Étape 2.3 : Initialisation et chargement des poids model = SimpleClassifier( vocab_size=config['vocab_size'], embedding_dim=config['embedding_dim'], hidden_dim=config['hidden_dim'], output_dim=config['output_dim'] ).to(DEVICE) model.load_state_dict(torch.load(model_path, map_location=DEVICE)) model.eval() # Toujours mettre en mode évaluation pour la prédiction # 💖 Étape 2.4 : Fonction de Prédiction def predict_limy_mini(question): tokens = simple_tokenizer(question) # Remplacement des mots inconnus par l'indice 0 (UNK) token_indices = [word_to_idx.get(token, 0) for token in tokens] # Création du tenseur d'entrée (dtype=torch.long est important pour les indices) input_tensor = torch.tensor(token_indices, dtype=torch.long).to(DEVICE) with torch.no_grad(): output = model(input_tensor.view(-1, 1)) # Assure le format (Longueur, 1) prediction = torch.argmax(output, dim=1).item() # Affichage du résultat if prediction == 0: return f"Prediction : Animaux 🐾 (Classe 0)" elif prediction == 1: return f"Prediction : Capitales 🏙️ (Classe 1)" else: return f"Prediction : Inconnue" # 💖 Exemple d'utilisation result_animaux = predict_limy_mini("Combien de cœurs a une pieuvre ?") result_capitales = predict_limy_mini("Où se trouve la porte de Brandebourg ?") print(f"\nQuestion 1 : {result_animaux}") print(f"Question 2 : {result_capitales}") ``` ----- ## ⚠️ Limitations et Remarques * Vocabulaire Fixe : Le modèle utilise le vocabulaire de Limy-basique. Si une phrase contient de nombreux mots qui n'étaient pas présents dans le jeu de données initial, ces mots seront remplacés par l'indice `0` (UNK - Inconnu), ce qui pourrait réduire la précision. * Taille du Modèle : Il s'agit d'un classifieur très léger (basé sur une architecture de type Recurrent Neural Network - RNN), idéal pour les démonstrations ou les appareils à faibles ressources, mais moins performant que les modèles de type Transformer (BERT, etc.).
jonfennik90/blockassist	jonfennik90	2025-09-25T06:10:10Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "energetic unseen spider", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:04:54Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - energetic unseen spider --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
rodry50/Qwen3-0.6B-Gensyn-Swarm-fierce_monstrous_ape	rodry50	2025-09-25T06:09:56Z	129	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am fierce_monstrous_ape", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-15T22:22:13Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am fierce_monstrous_ape --- # 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. 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deckardk09/blockassist	deckardk09	2025-09-25T06:09:54Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "armored soft fish", "arxiv:2504.07091", "region:us" ]	null	2025-09-18T17:35:50Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - armored soft fish --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
masondoo/Qwen3-0.6B-Gensyn-Swarm-barky_foraging_cat	masondoo	2025-09-25T06:09:50Z	85	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am barky_foraging_cat", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-18T07:53:50Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am barky_foraging_cat --- # 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. 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eiknarf/Qwen3-0.6B-Gensyn-Swarm-rapid_stocky_stork	eiknarf	2025-09-25T06:09:48Z	83	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am rapid_stocky_stork", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-12T22:49:18Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am rapid_stocky_stork --- # 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. 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RMCian/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-fast_rabid_ram	RMCian	2025-09-25T06:09:47Z	121	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am fast_rabid_ram", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-20T03:17:14Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am fast_rabid_ram --- # 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. 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chrispian/Qwen3-0.6B-Gensyn-Swarm-lanky_lightfooted_swan	chrispian	2025-09-25T06:09:40Z	156	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am lanky_lightfooted_swan", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-13T21:37:31Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am lanky_lightfooted_swan --- # 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. 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dinolab/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-mimic_tropical_coral	dinolab	2025-09-25T06:09:36Z	23	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am mimic_tropical_coral", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-23T01:39:07Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am mimic_tropical_coral --- # 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. 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fafsfa/Qwen3-0.6B-Gensyn-Swarm-silent_ravenous_macaw	fafsfa	2025-09-25T06:09:34Z	154	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am silent_ravenous_macaw", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-10T15:02:15Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am silent_ravenous_macaw --- # 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. 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jonglendydrmundo/blockassist	jonglendydrmundo	2025-09-25T06:09:31Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stinky winged bison", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:04:11Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stinky winged bison --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
12Midnight12/Qwen3-0.6B-Gensyn-Swarm-yawning_invisible_slug	12Midnight12	2025-09-25T06:09:29Z	125	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am yawning_invisible_slug", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-17T03:09:19Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am yawning_invisible_slug --- # 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. 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aralper18/Qwen3-0.6B-Gensyn-Swarm-padded_lanky_ape	aralper18	2025-09-25T06:09:23Z	148	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am padded_lanky_ape", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-16T08:21:27Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am padded_lanky_ape --- # 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. 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sk-123456789/finetuning-sentiment-model-3000-samples	sk-123456789	2025-09-25T06:09:19Z	0	0	transformers	[ "transformers", "tensorboard", "safetensors", "distilbert", "text-classification", "generated_from_trainer", "base_model:distilbert/distilbert-base-uncased", "base_model:finetune:distilbert/distilbert-base-uncased", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "region:us" ]	text-classification	2025-09-25T05:51:28Z	--- library_name: transformers license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: finetuning-sentiment-model-3000-samples 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. --> # finetuning-sentiment-model-3000-samples This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3372 - Accuracy: 0.8733 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results ### Framework versions - Transformers 4.56.1 - Pytorch 2.8.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.0
aralper18/Qwen3-0.6B-Gensyn-Swarm-flapping_domestic_wombat	aralper18	2025-09-25T06:09:18Z	170	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am flapping_domestic_wombat", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-09T20:21:20Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am flapping_domestic_wombat --- # 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. 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fafsfa/Qwen3-0.6B-Gensyn-Swarm-muscular_horned_ape	fafsfa	2025-09-25T06:09:17Z	160	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am muscular_horned_ape", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-15T13:36:41Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am muscular_horned_ape --- # 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. 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okuzarabasi/Qwen3-0.6B-Gensyn-Swarm-grunting_toothy_elk	okuzarabasi	2025-09-25T06:09:16Z	7	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am grunting_toothy_elk", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-06-30T06:33:53Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am grunting_toothy_elk --- # 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. 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lonniemaury417/blockassist	lonniemaury417	2025-09-25T06:09:15Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "flexible carnivorous antelope", "arxiv:2504.07091", "region:us" ]	null	2025-09-18T17:34:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - flexible carnivorous antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
chrispian/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-lumbering_gliding_camel	chrispian	2025-09-25T06:09:14Z	0	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am lumbering_gliding_camel", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-24T18:54:00Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am lumbering_gliding_camel --- # 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. 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Dejiat/Qwen3-0.6B-Gensyn-Swarm-prickly_woolly_seal	Dejiat	2025-09-25T06:09:08Z	95	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am prickly_woolly_seal", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-09T11:24:19Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am prickly_woolly_seal --- # 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. 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jeres2029/blockassist	jeres2029	2025-09-25T06:09:07Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "squinting slimy cockroach", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:22:06Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - squinting slimy cockroach --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Uzaki12/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_invisible_deer	Uzaki12	2025-09-25T06:09:06Z	171	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am prickly_invisible_deer", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-11T15:52:52Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am prickly_invisible_deer --- # 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. 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sourled/Qwen3-0.6B-Gensyn-Swarm-finicky_purring_alpaca	sourled	2025-09-25T06:09:00Z	169	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am finicky_purring_alpaca", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-06T06:03:53Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am finicky_purring_alpaca --- # 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. 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ayoeedris/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thorny_dappled_gorilla	ayoeedris	2025-09-25T06:08:56Z	5	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "generated_from_trainer", "rl-swarm", "grpo", "gensyn", "I am thorny dappled gorilla", "unsloth", "trl", "genrl-swarm", "I am thorny_dappled_gorilla", "conversational", "arxiv:2402.03300", "base_model:Gensyn/Qwen2.5-0.5B-Instruct", "base_model:finetune:Gensyn/Qwen2.5-0.5B-Instruct", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-04-26T23:06:57Z	--- base_model: Gensyn/Qwen2.5-0.5B-Instruct library_name: transformers model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thorny_dappled_gorilla tags: - generated_from_trainer - rl-swarm - grpo - gensyn - I am thorny dappled gorilla - unsloth - trl - genrl-swarm - I am thorny_dappled_gorilla licence: license --- # Model Card for Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thorny_dappled_gorilla This model is a fine-tuned version of [Gensyn/Qwen2.5-0.5B-Instruct](https://huggingface.co/Gensyn/Qwen2.5-0.5B-Instruct). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="ayoeedris/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thorny_dappled_gorilla", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300). ### Framework versions - TRL: 0.15.2 - Transformers: 4.48.2 - Pytorch: 2.5.1 - Datasets: 3.6.0 - Tokenizers: 0.21.1 ## Citations Cite GRPO as: ```bibtex @article{zhihong2024deepseekmath, title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}}, author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo}, year = 2024, eprint = {arXiv:2402.03300}, } ``` Cite TRL as: ```bibtex @misc{vonwerra2022trl, title = {{TRL: Transformer Reinforcement Learning}}, author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
reniermyiahakeem/blockassist	reniermyiahakeem	2025-09-25T06:08:56Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "grazing leggy cougar", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:03:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - grazing leggy cougar --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
SIGTIR/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wily_bold_lynx	SIGTIR	2025-09-25T06:08:52Z	8	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am wily_bold_lynx", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-06-27T17:52:34Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am wily_bold_lynx --- # 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. 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noobmaster6009/Qwen3-0.6B-Gensyn-Swarm-polished_sleek_locust	noobmaster6009	2025-09-25T06:08:48Z	67	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am polished_sleek_locust", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T11:08:59Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am polished_sleek_locust --- # 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. 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noobmaster6009/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-lively_grazing_bee	noobmaster6009	2025-09-25T06:08:38Z	23	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am lively_grazing_bee", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-22T16:53:26Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am lively_grazing_bee --- # 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. 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chrispian/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-padded_plump_prawn	chrispian	2025-09-25T06:08:31Z	0	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am padded_plump_prawn", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-24T18:52:20Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am padded_plump_prawn --- # 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. 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noobmaster6009/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-foxy_soaring_seahorse	noobmaster6009	2025-09-25T06:08:29Z	70	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am foxy_soaring_seahorse", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T11:07:53Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am foxy_soaring_seahorse --- # 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. 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youthearchangel/Qwen3-0.6B-Gensyn-Swarm-domestic_fleecy_caribou	youthearchangel	2025-09-25T06:08:29Z	85	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am domestic_fleecy_caribou", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T11:09:00Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am domestic_fleecy_caribou --- # 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. 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hfgf00019/blockassist	hfgf00019	2025-09-25T06:08:18Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "purring stinging anteater", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T11:44:21Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - purring stinging anteater --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mrhomie/Qwen3-0.6B-Gensyn-Swarm-long_tricky_alpaca	mrhomie	2025-09-25T06:08:14Z	66	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am long_tricky_alpaca", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T22:22:38Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am long_tricky_alpaca --- # 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. 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THP2903/Qwen2-VL-7B-multi-137k_full_maed	THP2903	2025-09-25T06:08:08Z	15	0	transformers	[ "transformers", "safetensors", "qwen2_vl", "image-to-text", "generated_from_trainer", "sft", "trl", "base_model:Qwen/Qwen2-VL-7B-Instruct", "base_model:finetune:Qwen/Qwen2-VL-7B-Instruct", "text-generation-inference", "endpoints_compatible", "region:us" ]	image-to-text	2025-09-23T14:38:35Z	--- base_model: Qwen/Qwen2-VL-7B-Instruct library_name: transformers model_name: Qwen2-VL-7B-multi-137k_full_maed tags: - generated_from_trainer - sft - trl licence: license --- # Model Card for Qwen2-VL-7B-multi-137k_full_maed This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="THP2903/Qwen2-VL-7B-multi-137k_full_maed", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/phucth290303-pythera/Qwen2-VL-7B-multi-137k/runs/rpkdl4es) This model was trained with SFT. ### Framework versions - TRL: 0.21.0 - Transformers: 4.55.4 - Pytorch: 2.7.0+cu128 - Datasets: 3.6.0 - Tokenizers: 0.21.4 ## Citations Cite TRL as: ```bibtex @misc{vonwerra2022trl, title = {{TRL: Transformer Reinforcement Learning}}, author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
piki-eth/Smoothie-Qwen3-1.7B-Gensyn-Swarm-reclusive_lazy_bobcat	piki-eth	2025-09-25T06:08:07Z	26	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am reclusive_lazy_bobcat", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-22T14:22:06Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am reclusive_lazy_bobcat --- # 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. 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yesimm01/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_slimy_bobcat	yesimm01	2025-09-25T06:07:54Z	117	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am armored_slimy_bobcat", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-18T12:53:55Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am armored_slimy_bobcat --- # 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. 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bvd13194/blockassist	bvd13194	2025-09-25T06:07:52Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "elusive grassy puffin", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T11:29:08Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - elusive grassy puffin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
deckardkrs/blockassist	deckardkrs	2025-09-25T06:07:48Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "silent colorful ape", "arxiv:2504.07091", "region:us" ]	null	2025-09-18T17:33:35Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - silent colorful ape --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fafsfa/Qwen3-0.6B-Gensyn-Swarm-stealthy_gliding_slug	fafsfa	2025-09-25T06:07:46Z	0	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am stealthy_gliding_slug", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-24T12:39:26Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am stealthy_gliding_slug --- # 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. 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brenaldo171/blockassist	brenaldo171	2025-09-25T06:07:42Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "swift lazy macaw", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:20:59Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - swift lazy macaw --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mrhomie/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-hibernating_thriving_camel	mrhomie	2025-09-25T06:07:42Z	0	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am hibernating_thriving_camel", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-24T11:23:06Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am hibernating_thriving_camel --- # 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. 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karunchan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-energetic_bold_badger	karunchan	2025-09-25T06:07:40Z	160	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am energetic_bold_badger", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-16T08:23:35Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am energetic_bold_badger --- # 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. 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travez07/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-alert_restless_termite	travez07	2025-09-25T06:07:37Z	22	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am alert_restless_termite", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-23T01:37:22Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am alert_restless_termite --- # 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. 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chrispian/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-snorting_sedate_dragonfly	chrispian	2025-09-25T06:07:32Z	148	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am snorting_sedate_dragonfly", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-15T07:24:05Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am snorting_sedate_dragonfly --- # 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. 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UgurSever/AceInstruct-1.5B-Gensyn-Swarm-deadly_climbing_otter	UgurSever	2025-09-25T06:07:32Z	6	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am deadly_climbing_otter", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-23T20:22:59Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am deadly_climbing_otter --- # 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. 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dora342/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-nocturnal_ferocious_macaw	dora342	2025-09-25T06:07:29Z	0	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am nocturnal_ferocious_macaw", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-24T20:08:57Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am nocturnal_ferocious_macaw --- # 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. 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casperbenya/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-peaceful_sleek_bear	casperbenya	2025-09-25T06:07:28Z	189	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am peaceful_sleek_bear", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-23T08:57:24Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am peaceful_sleek_bear --- # 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. 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fafsfa/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-fierce_clawed_chameleon	fafsfa	2025-09-25T06:07:28Z	142	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am fierce_clawed_chameleon", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-16T14:37:22Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am fierce_clawed_chameleon --- # 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. 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SIGTIR/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-rapid_feline_fish	SIGTIR	2025-09-25T06:07:22Z	5	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "generated_from_trainer", "rl-swarm", "grpo", "gensyn", "I am rapid feline fish", "unsloth", "trl", "genrl-swarm", "I am rapid_feline_fish", "conversational", "arxiv:2402.03300", "base_model:Gensyn/Qwen2.5-0.5B-Instruct", "base_model:finetune:Gensyn/Qwen2.5-0.5B-Instruct", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-06-08T03:19:09Z	--- base_model: Gensyn/Qwen2.5-0.5B-Instruct library_name: transformers model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-rapid_feline_fish tags: - generated_from_trainer - rl-swarm - grpo - gensyn - I am rapid feline fish - unsloth - trl - genrl-swarm - I am rapid_feline_fish licence: license --- # Model Card for Qwen2.5-0.5B-Instruct-Gensyn-Swarm-rapid_feline_fish This model is a fine-tuned version of [Gensyn/Qwen2.5-0.5B-Instruct](https://huggingface.co/Gensyn/Qwen2.5-0.5B-Instruct). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="SIGTIR/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-rapid_feline_fish", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300). ### Framework versions - TRL: 0.15.2 - Transformers: 4.48.2 - Pytorch: 2.5.1 - Datasets: 3.6.0 - Tokenizers: 0.21.1 ## Citations Cite GRPO as: ```bibtex @article{zhihong2024deepseekmath, title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}}, author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo}, year = 2024, eprint = {arXiv:2402.03300}, } ``` Cite TRL as: ```bibtex @misc{vonwerra2022trl, title = {{TRL: Transformer Reinforcement Learning}}, author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
zenlm/zen-nano-thinking	zenlm	2025-09-25T06:07:22Z	0	0	null	[ "safetensors", "qwen3", "recursive-learning", "self-improvement", "v1.0.1", "text-generation", "conversational", "en", "license:apache-2.0", "8-bit", "q8", "region:us" ]	text-generation	2025-09-24T21:22:41Z	--- license: apache-2.0 tags: - recursive-learning - self-improvement - v1.0.1 language: - en pipeline_tag: text-generation --- # Zen Nano Thinking v1.0.1 ## 🎉 v1.0.1 Release (2025) ### Recursive Self-Improvement Update This release introduces our groundbreaking Recursive AI Self-Improvement System (RAIS), where models learn from their own work sessions. Key Metrics: - 📊 94% effectiveness across 20 training examples - 🔒 Enhanced security and error handling - 📚 Improved documentation understanding - 🎯 Stronger model identity ### What's New - Security: Fixed API token exposure, added path validation - Documentation: Hierarchical structure, comprehensive guides - Identity: Clear branding, no base model confusion - Technical: Multi-format support (MLX, GGUF, SafeTensors) - Learning: Pattern recognition from real work sessions ### Partnership Built by Hanzo AI (Techstars-backed) and Zoo Labs Foundation (501(c)(3) non-profit) for open, private, and sustainable AI. ## Installation ### Using Transformers ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("zenlm/zen-nano-thinking") tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-nano-thinking") ``` ### Using MLX (Apple Silicon) ```python from mlx_lm import load, generate model, tokenizer = load("zenlm/zen-nano-thinking") ``` ### Using llama.cpp Download GGUF format from Files tab. ## Training This model supports fine-tuning with [zoo-gym](https://github.com/zooai/gym). ## Citation ```bibtex @misc{zen_supra_v1_0_1_2025, title={Zen Nano Thinking v1.0.1: Recursive Self-Improvement}, year={2025}, version={1.0.1} } ``` --- © 2025 • Built with ❤️ by Hanzo AI & Zoo Labs Foundation
OCHone/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_prehistoric_lizard	OCHone	2025-09-25T06:07:15Z	60	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am powerful_prehistoric_lizard", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-08-23T14:34:51Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am powerful_prehistoric_lizard --- # 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. 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jackiemelillo866/blockassist	jackiemelillo866	2025-09-25T06:07:08Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "tiny tricky pelican", "arxiv:2504.07091", "region:us" ]	null	2025-09-18T17:33:02Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - tiny tricky pelican --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fdshgsd/Qwen3-0.6B-Gensyn-Swarm-deadly_fleecy_squirrel	fdshgsd	2025-09-25T06:07:07Z	178	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am deadly_fleecy_squirrel", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-13T00:22:30Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am deadly_fleecy_squirrel --- # 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. 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fafsfa/Qwen3-0.6B-Gensyn-Swarm-rabid_vocal_cougar	fafsfa	2025-09-25T06:07:01Z	79	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am rabid_vocal_cougar", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T09:51:58Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am rabid_vocal_cougar --- # 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. 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Sahilmajhua/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-grunting_nasty_albatross	Sahilmajhua	2025-09-25T06:06:58Z	164	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am grunting_nasty_albatross", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-13T15:22:21Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am grunting_nasty_albatross --- # 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. 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esi777/Qwen3-0.6B-Gensyn-Swarm-extinct_curious_beaver	esi777	2025-09-25T06:06:56Z	81	0	transformers	[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am extinct_curious_beaver", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T11:09:09Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am extinct_curious_beaver --- # 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. 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DidulaThavishaPro/base_test_4_sft_gguf	DidulaThavishaPro	2025-09-25T06:06:37Z	0	0	transformers	[ "transformers", "gguf", "qwen2", "text-generation-inference", "unsloth", "en", "license:apache-2.0", "endpoints_compatible", "region:us" ]	null	2025-09-25T03:33:04Z	--- base_model: unsloth/qwen2.5-coder-7b-instruct-bnb-4bit tags: - text-generation-inference - transformers - unsloth - qwen2 - gguf license: apache-2.0 language: - en --- # Uploaded model - Developed by: DidulaThavishaPro - License: apache-2.0 - Finetuned from model : unsloth/qwen2.5-coder-7b-instruct-bnb-4bit This qwen2 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)
isharjodi/blockassist	isharjodi	2025-09-25T06:06:36Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "territorial fierce peacock", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T16:01:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - territorial fierce peacock --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
tfoor0973/blockassist	tfoor0973	2025-09-25T06:06:28Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "skittish opaque mammoth", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:19:38Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - skittish opaque mammoth --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
TeseractT/blockassist	TeseractT	2025-09-25T06:06:28Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reclusive squeaky bobcat", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T07:21:05Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reclusive squeaky bobcat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hfhf66944/blockassist	hfhf66944	2025-09-25T06:06:23Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "feathered tropical camel", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T12:07:59Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - feathered tropical camel --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
wonbinviolet/blockassist	wonbinviolet	2025-09-25T06:05:58Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "alert cunning ox", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T15:59:27Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - alert cunning ox --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
calese150/blockassist	calese150	2025-09-25T06:05:54Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "howling twitchy bat", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:19:00Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - howling twitchy bat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
xiaoyuer1212/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-shy_soaring_cobra	xiaoyuer1212	2025-09-25T06:05:51Z	0	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am shy_soaring_cobra", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-25T04:46:27Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am shy_soaring_cobra --- # 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. 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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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bh9459212/blockassist	bh9459212	2025-09-25T06:05:27Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quiet lethal beaver", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T11:27:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quiet lethal beaver --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Fort171991/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-reclusive_bipedal_salmon	Fort171991	2025-09-25T06:05:24Z	4	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am reclusive_bipedal_salmon", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-07-26T07:29:09Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am reclusive_bipedal_salmon --- # 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. 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caleseldridge36/blockassist	caleseldridge36	2025-09-25T06:05:17Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "territorial beaked alligator", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:18:30Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - territorial beaked alligator --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
chiamitchell6/blockassist	chiamitchell6	2025-09-25T06:05:17Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "elusive hibernating baboon", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T15:58:55Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - elusive hibernating baboon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Euphora/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-enormous_invisible_gull	Euphora	2025-09-25T06:04:43Z	113	0	transformers	[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am enormous_invisible_gull", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]	text-generation	2025-09-20T15:52:30Z	--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am enormous_invisible_gull --- # 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. 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aqsima441/blockassist	aqsima441	2025-09-25T06:04:21Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "humming unseen cow", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T12:10:13Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - humming unseen cow --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ezrealkennenmarie/blockassist	ezrealkennenmarie	2025-09-25T06:04:08Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "grunting furry clam", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T15:57:40Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - grunting furry clam --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ssaataka35/blockassist	ssaataka35	2025-09-25T06:03:53Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "ferocious tawny crab", "arxiv:2504.07091", "region:us" ]	null	2025-09-20T11:55:48Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - ferocious tawny crab --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
saeedjeremiah/blockassist	saeedjeremiah	2025-09-25T06:03:27Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "savage swift mallard", "arxiv:2504.07091", "region:us" ]	null	2025-09-19T07:48:04Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - savage swift mallard --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
wescottr496/blockassist	wescottr496	2025-09-25T06:03:26Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "agile thorny donkey", "arxiv:2504.07091", "region:us" ]	null	2025-09-21T04:16:26Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - agile thorny donkey --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
onnx-community/chatterbox-ONNX	onnx-community	2025-09-25T06:02:55Z	67	3	chatterbox	[ "chatterbox", "onnx", "text-to-speech", "speech", "speech-generation", "voice-cloning", "multilingual-tts", "en", "license:mit", "region:us" ]	text-to-speech	2025-07-08T14:10:18Z	--- license: mit language: - en pipeline_tag: text-to-speech tags: - text-to-speech - speech - speech-generation - voice-cloning - multilingual-tts library_name: chatterbox --- <img width="800" alt="cb-big2" src="https://github.com/user-attachments/assets/bd8c5f03-e91d-4ee5-b680-57355da204d1" /> <h1 style="font-size: 32px">Chatterbox TTS</h1> <div style="display: flex; align-items: center; gap: 12px"> <a href="https://resemble-ai.github.io/chatterbox_demopage/"> <img src="https://img.shields.io/badge/listen-demo_samples-blue" alt="Listen to Demo Samples" /> </a> <a href="https://huggingface.co/spaces/ResembleAI/Chatterbox"> <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-sm.svg" alt="Open in HF Spaces" /> </a> <a href="https://podonos.com/resembleai/chatterbox"> <img src="https://static-public.podonos.com/badges/insight-on-pdns-sm-dark.svg" alt="Insight on Podos" /> </a> </div> <div style="display: flex; align-items: center; gap: 8px;"> <img width="100" alt="resemble-logo-horizontal" src="https://github.com/user-attachments/assets/35cf756b-3506-4943-9c72-c05ddfa4e525" /> </div> Chatterbox [Resemble AI's](https://resemble.ai) production-grade open source TTS model. Chatterbox supports English out of the box. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Chatterbox is provided in an exported ONNX format, enabling fast and portable inference with ONNX Runtime across platforms. # Key Details - SoTA zeroshot English TTS - 0.5B Llama backbone - Unique exaggeration/intensity control - Ultra-stable with alignment-informed inference - Trained on 0.5M hours of cleaned data - Watermarked outputs (optional) - Easy voice conversion script using onnxruntime - [Outperforms ElevenLabs](https://podonos.com/resembleai/chatterbox) # Tips - General Use (TTS and Voice Agents): - The default settings (`exaggeration=0.5`, `cfg=0.5`) work well for most prompts. - Expressive or Dramatic Speech: - Try increase `exaggeration` to around `0.7` or higher. - Higher `exaggeration` tends to speed up speech; # Usage [Link to GitHub ONNX Export and Inference script](https://github.com/VladOS95-cyber/onnx_conversion_scripts/tree/main/chatterbox) ```python # !pip install --upgrade onnxruntime==1.22.1 huggingface_hub==0.34.4 transformers==4.46.3 numpy==2.2.6 tqdm==4.67.1 librosa==0.11.0 soundfile==0.13.1 import onnxruntime from huggingface_hub import hf_hub_download from transformers import AutoTokenizer import numpy as np from tqdm import tqdm import librosa import soundfile as sf S3GEN_SR = 24000 START_SPEECH_TOKEN = 6561 STOP_SPEECH_TOKEN = 6562 class RepetitionPenaltyLogitsProcessor: def __init__(self, penalty: float): if not isinstance(penalty, float) or not (penalty > 0): raise ValueError(f"`penalty` must be a strictly positive float, but is {penalty}") self.penalty = penalty def __call__(self, input_ids: np.ndarray, scores: np.ndarray) -> np.ndarray: score = np.take_along_axis(scores, input_ids, axis=1) score = np.where(score < 0, score * self.penalty, score / self.penalty) scores_processed = scores.copy() np.put_along_axis(scores_processed, input_ids, score, axis=1) return scores_processed def run_inference( text="The Lord of the Rings is the greatest work of literature.", target_voice_path=None, max_new_tokens = 256, exaggeration=0.5, output_dir="converted", output_file_name="output.wav", apply_watermark=True, ): model_id = "onnx-community/chatterbox-onnx" if not target_voice_path: target_voice_path = hf_hub_download(repo_id=model_id, filename="default_voice.wav", local_dir=output_dir) ## Load model speech_encoder_path = hf_hub_download(repo_id=model_id, filename="speech_encoder.onnx", local_dir=output_dir, subfolder='onnx') hf_hub_download(repo_id=model_id, filename="speech_encoder.onnx_data", local_dir=output_dir, subfolder='onnx') embed_tokens_path = hf_hub_download(repo_id=model_id, filename="embed_tokens.onnx", local_dir=output_dir, subfolder='onnx') hf_hub_download(repo_id=model_id, filename="embed_tokens.onnx_data", local_dir=output_dir, subfolder='onnx') conditional_decoder_path = hf_hub_download(repo_id=model_id, filename="conditional_decoder.onnx", local_dir=output_dir, subfolder='onnx') hf_hub_download(repo_id=model_id, filename="conditional_decoder.onnx_data", local_dir=output_dir, subfolder='onnx') language_model_path = hf_hub_download(repo_id=model_id, filename="language_model.onnx", local_dir=output_dir, subfolder='onnx') hf_hub_download(repo_id=model_id, filename="language_model.onnx_data", local_dir=output_dir, subfolder='onnx') # # Start inferense sessions speech_encoder_session = onnxruntime.InferenceSession(speech_encoder_path) embed_tokens_session = onnxruntime.InferenceSession(embed_tokens_path) llama_with_past_session = onnxruntime.InferenceSession(language_model_path) cond_decoder_session = onnxruntime.InferenceSession(conditional_decoder_path) def execute_text_to_audio_inference(text): print("Start inference script...") audio_values, _ = librosa.load(target_voice_path, sr=S3GEN_SR) audio_values = audio_values[np.newaxis, :].astype(np.float32) ## Prepare input tokenizer = AutoTokenizer.from_pretrained(model_id) input_ids = tokenizer(text, return_tensors="np")["input_ids"].astype(np.int64) position_ids = np.where( input_ids >= START_SPEECH_TOKEN, 0, np.arange(input_ids.shape[1])[np.newaxis, :] - 1 ) ort_embed_tokens_inputs = { "input_ids": input_ids, "position_ids": position_ids, "exaggeration": np.array([exaggeration], dtype=np.float32) } ## Instantiate the logits processors. repetition_penalty = 1.2 repetition_penalty_processor = RepetitionPenaltyLogitsProcessor(penalty=repetition_penalty) num_hidden_layers = 30 num_key_value_heads = 16 head_dim = 64 generate_tokens = np.array([[START_SPEECH_TOKEN]], dtype=np.long) # ---- Generation Loop using kv_cache ---- for i in tqdm(range(max_new_tokens), desc="Sampling", dynamic_ncols=True): inputs_embeds = embed_tokens_session.run(None, ort_embed_tokens_inputs)[0] if i == 0: ort_speech_encoder_input = { "audio_values": audio_values, } cond_emb, prompt_token, ref_x_vector, prompt_feat = speech_encoder_session.run(None, ort_speech_encoder_input) inputs_embeds = np.concatenate((cond_emb, inputs_embeds), axis=1) ## Prepare llm inputs batch_size, seq_len, _ = inputs_embeds.shape past_key_values = { f"past_key_values.{layer}.{kv}": np.zeros([batch_size, num_key_value_heads, 0, head_dim], dtype=np.float32) for layer in range(num_hidden_layers) for kv in ("key", "value") } attention_mask = np.ones((batch_size, seq_len), dtype=np.int64) logits, present_key_values = llama_with_past_session.run(None, dict( inputs_embeds=inputs_embeds, attention_mask=attention_mask, *past_key_values, )) logits = logits[:, -1, :] next_token_logits = repetition_penalty_processor(generate_tokens, logits) next_token = np.argmax(next_token_logits, axis=-1, keepdims=True).astype(np.int64) generate_tokens = np.concatenate((generate_tokens, next_token), axis=-1) if (next_token.flatten() == STOP_SPEECH_TOKEN).all(): break # Get embedding for the new token. position_ids = np.full( (input_ids.shape[0], 1), i + 1, dtype=np.int64, ) ort_embed_tokens_inputs["input_ids"] = next_token ort_embed_tokens_inputs["position_ids"] = position_ids ## Update values for next generation loop attention_mask = np.concatenate([attention_mask, np.ones((batch_size, 1), dtype=np.int64)], axis=1) for j, key in enumerate(past_key_values): past_key_values[key] = present_key_values[j] speech_tokens = generate_tokens[:, 1:-1] speech_tokens = np.concatenate([prompt_token, speech_tokens], axis=1) return speech_tokens, ref_x_vector, prompt_feat speech_tokens, speaker_embeddings, speaker_features = execute_text_to_audio_inference(text) cond_incoder_input = { "speech_tokens": speech_tokens, "speaker_embeddings": speaker_embeddings, "speaker_features": speaker_features, } wav = cond_decoder_session.run(None, cond_incoder_input)[0] wav = np.squeeze(wav, axis=0) # Optional: Apply watermark if apply_watermark: import perth watermarker = perth.PerthImplicitWatermarker() wav = watermarker.apply_watermark(wav, sample_rate=S3GEN_SR) sf.write(output_file_name, wav, S3GEN_SR) print(f"{output_file_name} was successfully saved") if __name__ == "__main__": run_inference( text="Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill.", exaggeration=0.5, output_file_name="output.wav", apply_watermark=False, ) ``` # Acknowledgements - [Xenova](https://huggingface.co/Xenova) - [Vladislav Bronzov](https://github.com/VladOS95-cyber) - [Resemble AI](https://github.com/resemble-ai/chatterbox) # Built-in PerTh Watermarking for Responsible AI Every audio file generated by Chatterbox includes [Resemble AI's Perth (Perceptual Threshold) Watermarker](https://github.com/resemble-ai/perth) - imperceptible neural watermarks that survive MP3 compression, audio editing, and common manipulations while maintaining nearly 100% detection accuracy. # Disclaimer Don't use this model to do bad things. Prompts are sourced from freely available data on the internet.
kaisalindsay/blockassist	kaisalindsay	2025-09-25T06:02:52Z	0	0	null	[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "amphibious webbed mink", "arxiv:2504.07091", "region:us" ]	null	2025-09-23T15:56:31Z	--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - amphibious webbed mink --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).

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