huggingface-projects/Deep-RL-Course-Certification
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ThomasSimonini
updated
a
dataset
about 7 hours ago
Post
809
Bytedance is on fire this week 🔥🔥🔥
They released Seed1.5-VL, A vision-language model for general-purpose multimodal reasoning.
It’s not open-source, but the paper and demo are available here👇
✨ Seed1.5-VL Technical Report (2505.07062)
✨ ByteDance-Seed/Seed1.5-VL
They released Seed1.5-VL, A vision-language model for general-purpose multimodal reasoning.
It’s not open-source, but the paper and demo are available here👇
✨ Seed1.5-VL Technical Report (2505.07062)
✨ ByteDance-Seed/Seed1.5-VL
Post
323
AgentCPM-GUI🤖an open on-device GUI agent by OpenBMB
openbmb/AgentCPM-GUI
✨Strong GUI grounding (bilingual Android dataset)
✨RFT-enhanced planning & reasoning
✨Compact action space (avg. 9.7 tokens)
openbmb/AgentCPM-GUI
✨Strong GUI grounding (bilingual Android dataset)
✨RFT-enhanced planning & reasoning
✨Compact action space (avg. 9.7 tokens)
Post
1351
Matrix Game 🎮 an interactive foundation model for controllable game world generation, released by Skywork AI.
Skywork/Matrix-Game
✨ 17B with MIT licensed
✨ Diffusion-based image-to-world video generation via keyboard & mouse input
✨ GameWorld Score benchmark for Minecraft world models
✨ Massive Matrix Game Dataset with fine-grained action labels
Skywork/Matrix-Game
✨ 17B with MIT licensed
✨ Diffusion-based image-to-world video generation via keyboard & mouse input
✨ GameWorld Score benchmark for Minecraft world models
✨ Massive Matrix Game Dataset with fine-grained action labels
Post
2949
VLMS 2025 UPDATE 🔥
We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more! https://huggingface.co/blog/vlms-2025
We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more! https://huggingface.co/blog/vlms-2025
- 1 reply
Post
1562
RoboBrain 🧠 an 32B open embodied AI model enabling multi-robot collaboration, released by BAAIBeijing.
Model: BAAI/robobrain-681e1389c64d06b3e4a45e44
Dataset: BAAI/ShareRobot
✨ Task decomposition into 20+ precise actions
✨ Operable region detection (e.g: teapot handles, drawers)
✨ Motion trajectory prediction to avoid collisions
Model: BAAI/robobrain-681e1389c64d06b3e4a45e44
Dataset: BAAI/ShareRobot
✨ Task decomposition into 20+ precise actions
✨ Operable region detection (e.g: teapot handles, drawers)
✨ Motion trajectory prediction to avoid collisions
Post
621
Seed-Coder 💻 code models by ByteDance
ByteDance-Seed/seed-coder-680de32c15ead6555c75b0e4
✨ 8B models: base/instruct/reasoning
✨ MIT licensed
✨ Model-centric data filtering (less manual effort)
ByteDance-Seed/seed-coder-680de32c15ead6555c75b0e4
✨ 8B models: base/instruct/reasoning
✨ MIT licensed
✨ Model-centric data filtering (less manual effort)
Post
2066
HunyuanCustom 🔥 a multimodal video generation framework supporting image, audio, video & text conditions, released by TencentHunyuan
tencent/HunyuanCustom
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation (2505.04512)
✨Strong Identity Consistency
✨SOTA outperforms
tencent/HunyuanCustom
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation (2505.04512)
✨Strong Identity Consistency
✨SOTA outperforms
Post
4076
Ever notice how some AI assistants feel like tools while others feel like companions? Turns out, it's not always about fancy tech upgrades, because sometimes it's just clever design.
Our latest blog post at Hugging Face dives into how minimal design choices can completely transform how users experience AI. We've seen our community turn the same base models into everything from swimming coaches to interview prep specialists with surprisingly small tweaks.
The most fascinating part? When we tested identical models with different "personalities" in our Inference Playground, the results were mind-blowing.
Want to experiment yourself? Our Inference Playground lets anyone (yes, even non-coders!) test these differences in real-time. You can:
- Compare multiple models side-by-side
- Customize system prompts
- Adjust parameters like temperature
- Test multi-turn conversations
It's fascinating how a few lines of instruction text can transform the same AI from strictly professional to seemingly caring and personal, without changing a single line of code in the model itself.
Read more here: https://huggingface.co/blog/giadap/ai-personas
Our latest blog post at Hugging Face dives into how minimal design choices can completely transform how users experience AI. We've seen our community turn the same base models into everything from swimming coaches to interview prep specialists with surprisingly small tweaks.
The most fascinating part? When we tested identical models with different "personalities" in our Inference Playground, the results were mind-blowing.
Want to experiment yourself? Our Inference Playground lets anyone (yes, even non-coders!) test these differences in real-time. You can:
- Compare multiple models side-by-side
- Customize system prompts
- Adjust parameters like temperature
- Test multi-turn conversations
It's fascinating how a few lines of instruction text can transform the same AI from strictly professional to seemingly caring and personal, without changing a single line of code in the model itself.
Read more here: https://huggingface.co/blog/giadap/ai-personas
Post
3873
ACE-Step 🎵 a music generation foundation model released by
StepFun & ACEStudio
Model: ACE-Step/ACE-Step-v1-3.5B
Demo: ACE-Step/ACE-Step
✨ 3.5B, Apache2.0 licensed
✨ 115× faster than LLMs (4-min music in 20s on A100)
✨ Diffusion + DCAE + linear transformer = speed + coherence
✨ Supports voice cloning, remixing, lyric editing & more
StepFun & ACEStudio
Model: ACE-Step/ACE-Step-v1-3.5B
Demo: ACE-Step/ACE-Step
✨ 3.5B, Apache2.0 licensed
✨ 115× faster than LLMs (4-min music in 20s on A100)
✨ Diffusion + DCAE + linear transformer = speed + coherence
✨ Supports voice cloning, remixing, lyric editing & more
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- 1 reply
Post
816
CCI4.0-M2 📊 A powerful dataset with 3 specialized subsets, released by
BAAIBeijing
BAAI/cci40-68199d90bbc798680df16d7c
✨ M2-Base: 3.5TB web data (EN/ZH), with LLM-augmented content, APACHE2.0
✨ M2-CoT: 4.2TB of auto-synthesized CoT reasoning data
✨ M2-Extra: domain-specific knowledge
BAAIBeijing
BAAI/cci40-68199d90bbc798680df16d7c
✨ M2-Base: 3.5TB web data (EN/ZH), with LLM-augmented content, APACHE2.0
✨ M2-CoT: 4.2TB of auto-synthesized CoT reasoning data
✨ M2-Extra: domain-specific knowledge
Post
4964
A ton of impactful models and datasets in open AI past week, let's summarize the best 🤩
merve/releases-apr-21-and-may-2-6819dcc84da4190620f448a3
💬 Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B 🤯 as well as Qwen2.5-Omni, any-to-any model in 3B and 7B!
> Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes)
> NVIDIA released new CoT reasoning datasets
🖼️ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model
> Meta released EdgeTAM, an on-device object tracking model (SAM2 variant)
🗣️ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model
> Nari released Dia, a 1.6B text-to-speech model
> Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model
👩🏻💻 JetBrains released Melium models in base and SFT for coding
> Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model 🤩
💬 Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B 🤯 as well as Qwen2.5-Omni, any-to-any model in 3B and 7B!
> Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes)
> NVIDIA released new CoT reasoning datasets
🖼️ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model
> Meta released EdgeTAM, an on-device object tracking model (SAM2 variant)
🗣️ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model
> Nari released Dia, a 1.6B text-to-speech model
> Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model
👩🏻💻 JetBrains released Melium models in base and SFT for coding
> Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model 🤩
victor
updated
a
Space
8 days ago
Post
6448
A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥
D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩
> Collection with all checkpoints and demo ustc-community/d-fine-68109b427cbe6ee36b4e7352
Notebooks:
> Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
> Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
> Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
h/t @vladislavbro @qubvel-hf @ariG23498 and the authors of the paper 🎩
Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️
D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩
Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️
this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant.
D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩
> Collection with all checkpoints and demo ustc-community/d-fine-68109b427cbe6ee36b4e7352
Notebooks:
> Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
> Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
> Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
h/t @vladislavbro @qubvel-hf @ariG23498 and the authors of the paper 🎩
Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️
D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩
Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️
this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant.
- 2 replies
Post
2519
FramePack is hands down one of the best OS releases in video generation 🙇🏻♀️🤯
✅ fully open sourced + amazing quality + reduced memory + improved speed
but more even - its gonna facilitate *soooo* many downstream applications
like this version adapted for landscape rotation 👇https://huggingface.co/spaces/tori29umai/FramePack_rotate_landscape
✅ fully open sourced + amazing quality + reduced memory + improved speed
but more even - its gonna facilitate *soooo* many downstream applications
like this version adapted for landscape rotation 👇https://huggingface.co/spaces/tori29umai/FramePack_rotate_landscape
- 2 replies
Post
2158
you can easily fine-tune, quantize, play with sota vision LM InternVL3 now 🔥
we have recently merged InternVL3 to Hugging Face transformers and released converted checkpoints 🤗
collection for converted checkpoints: merve/internvl3-hf-6814be2943b2ae0e711c92a5
notebook: https://colab.research.google.com/drive/1wAQ7cyjyaCwLXbMA_OjXZe7aCxCFm6sI?usp=sharing 📖
we have recently merged InternVL3 to Hugging Face transformers and released converted checkpoints 🤗
collection for converted checkpoints: merve/internvl3-hf-6814be2943b2ae0e711c92a5
notebook: https://colab.research.google.com/drive/1wAQ7cyjyaCwLXbMA_OjXZe7aCxCFm6sI?usp=sharing 📖
Post
2921
DeepSeek, Alibaba, Skywork, Xiaomi, Bytedance.....
And that’s just part of the companies from the Chinese community that released open models in April 🤯
zh-ai-community/april-2025-open-releases-from-the-chinese-community-67ea699965f6e4c135cab10f
🎬 Video
> MAGI-1 by SandAI
> SkyReels-A2 & SkyReels-V2 by Skywork
> Wan2.1-FLF2V by Alibaba-Wan
🎨 Image
> HiDream-I1 by Vivago AI
> Kimi-VL by Moonshot AI
> InstantCharacter by InstantX & Tencent-Hunyuan
> Step1X-Edit by StepFun
> EasyControl by Shanghai Jiaotong University
🧠 Reasoning
> MiMo by Xiaomi
> Skywork-R1V 2.0 by Skywork
> ChatTS by ByteDance
> Kimina by Moonshot AI & Numina
> GLM-Z1 by Zhipu AI
> Skywork OR1 by Skywork
> Kimi-VL-Thinking by Moonshot AI
🔊 Audio
> Kimi-Audio by Moonshot AI
> IndexTTS by BiliBili
> MegaTTS3 by ByteDance
> Dolphin by DataOceanAI
🔢 Math
> DeepSeek Prover V2 by Deepseek
🌍 LLM
> Qwen by Alibaba-Qwen
> InternVL3 by Shanghai AI lab
> Ernie4.5 (demo) by Baidu
📊 Dataset
> PHYBench by Eureka-Lab
> ChildMandarin & Seniortalk by BAAI
Please feel free to add if I missed anything!
And that’s just part of the companies from the Chinese community that released open models in April 🤯
zh-ai-community/april-2025-open-releases-from-the-chinese-community-67ea699965f6e4c135cab10f
🎬 Video
> MAGI-1 by SandAI
> SkyReels-A2 & SkyReels-V2 by Skywork
> Wan2.1-FLF2V by Alibaba-Wan
🎨 Image
> HiDream-I1 by Vivago AI
> Kimi-VL by Moonshot AI
> InstantCharacter by InstantX & Tencent-Hunyuan
> Step1X-Edit by StepFun
> EasyControl by Shanghai Jiaotong University
🧠 Reasoning
> MiMo by Xiaomi
> Skywork-R1V 2.0 by Skywork
> ChatTS by ByteDance
> Kimina by Moonshot AI & Numina
> GLM-Z1 by Zhipu AI
> Skywork OR1 by Skywork
> Kimi-VL-Thinking by Moonshot AI
🔊 Audio
> Kimi-Audio by Moonshot AI
> IndexTTS by BiliBili
> MegaTTS3 by ByteDance
> Dolphin by DataOceanAI
🔢 Math
> DeepSeek Prover V2 by Deepseek
🌍 LLM
> Qwen by Alibaba-Qwen
> InternVL3 by Shanghai AI lab
> Ernie4.5 (demo) by Baidu
📊 Dataset
> PHYBench by Eureka-Lab
> ChildMandarin & Seniortalk by BAAI
Please feel free to add if I missed anything!
Post
1861
Xiaomi just entered the open source as a new player🔥 And dropped MiMo - a 7B model trained from scratch for reasoning.
XiaomiMiMo/MiMo-7B-RL
✨ 7B - Base/RL/SFT/RL zero
✨ Surpasses 32B models in math & code
✨ Apache 2.0 licensed
XiaomiMiMo/MiMo-7B-RL
✨ 7B - Base/RL/SFT/RL zero
✨ Surpasses 32B models in math & code
✨ Apache 2.0 licensed
Post
2609
Meta released Llama Guard 4 and new Prompt Guard 2 models 🔥
Llama Guard 4 is a new model to filter model inputs/outputs both text-only and image 🛡️ use it before and after LLMs/VLMs! meta-llama/Llama-Guard-4-12B
Prompt Guard 2 22M & 86M are smol models to prevent model jailbreaks and prompt injections ⚔ meta-llama/Llama-Prompt-Guard-2-22M meta-llama/Llama-Guard-4-12B
Both come with new release of transformers 🤗
Try the model right away 👉🏻https://github.com/huggingface/huggingface-llama-recipes/blob/main/llama_guard_4.ipynb
Read our blog to learn more and easily get started 👉🏻 https://huggingface.co/blog/llama-guard-4 🦙
Llama Guard 4 is a new model to filter model inputs/outputs both text-only and image 🛡️ use it before and after LLMs/VLMs! meta-llama/Llama-Guard-4-12B
Prompt Guard 2 22M & 86M are smol models to prevent model jailbreaks and prompt injections ⚔ meta-llama/Llama-Prompt-Guard-2-22M meta-llama/Llama-Guard-4-12B
Both come with new release of transformers 🤗
Try the model right away 👉🏻https://github.com/huggingface/huggingface-llama-recipes/blob/main/llama_guard_4.ipynb
Read our blog to learn more and easily get started 👉🏻 https://huggingface.co/blog/llama-guard-4 🦙
- 1 reply