huggingface-projects/Deep-RL-Course-Certification
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ThomasSimonini
updated
a
dataset
about 2 hours ago
Post
1771
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
2669
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
1754
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
2484
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
Post
5012
Introducing the ONNX model explorer: Browse, search, and visualize neural networks directly in your browser. 🤯 A great tool for anyone studying Machine Learning! We're also releasing the entire dataset of graphs so you can use them in your own projects! 🤗
Check it out! 👇
Demo: onnx-community/model-explorer
Dataset: onnx-community/model-explorer
Source code: https://github.com/xenova/model-explorer
Check it out! 👇
Demo: onnx-community/model-explorer
Dataset: onnx-community/model-explorer
Source code: https://github.com/xenova/model-explorer
Post
5026
Kimi-Audio 🚀🎧 an OPEN audio foundation model released by Moonshot AI
moonshotai/Kimi-Audio-7B-Instruct
✨ 7B
✨ 13M+ hours of pretraining data
✨ Novel hybrid input architecture
✨ Universal audio capabilities (ASR, AQA, AAC, SER, SEC/ASC, end-to-end conversation)
moonshotai/Kimi-Audio-7B-Instruct
✨ 7B
✨ 13M+ hours of pretraining data
✨ Novel hybrid input architecture
✨ Universal audio capabilities (ASR, AQA, AAC, SER, SEC/ASC, end-to-end conversation)
Post
3915
Don't sleep on new AI at Meta Vision-Language release! 🔥
facebook/perception-encoder-67f977c9a65ca5895a7f6ba1
facebook/perception-lm-67f9783f171948c383ee7498
Meta dropped swiss army knives for vision with A2.0 license 👏
> image/video encoders for vision language modelling and spatial understanding (object detection etc) 👏
> The vision LM outperforms InternVL3 and Qwen2.5VL 👏
> They also release gigantic video and image datasets
The authors attempt to come up with single versatile vision encoder to align on diverse set of tasks.
They trained Perception Encoder (PE) Core: a new state-of-the-art family of vision encoders that can be aligned for both vision-language and spatial tasks. For zero-shot image tasks, it outperforms latest sota SigLIP2 👏
> Among fine-tuned ones, first one is PE-Spatial. It's a model to detect bounding boxes, segmentation, depth estimation and it outperforms all other models 😮
> Second one is PLM, Perception Language Model, where they combine PE-Core with Qwen2.5 LM 7B. it outperforms all other models (including InternVL3 which was trained with Qwen2.5LM too!)
The authors release the following checkpoints in sizes base, large and giant:
> 3 PE-Core checkpoints (224, 336, 448)
> 2 PE-Lang checkpoints (L, G)
> One PE-Spatial (G, 448)
> 3 PLM (1B, 3B, 8B)
> Datasets
Authors release following datasets 📑
> PE Video: Gigantic video datasete of 1M videos with 120k expert annotations ⏯️
> PLM-Video and PLM-Image: Human and auto-annotated image and video datasets on region-based tasks
> PLM-VideoBench: New video benchmark on MCQA
facebook/perception-encoder-67f977c9a65ca5895a7f6ba1
facebook/perception-lm-67f9783f171948c383ee7498
Meta dropped swiss army knives for vision with A2.0 license 👏
> image/video encoders for vision language modelling and spatial understanding (object detection etc) 👏
> The vision LM outperforms InternVL3 and Qwen2.5VL 👏
> They also release gigantic video and image datasets
The authors attempt to come up with single versatile vision encoder to align on diverse set of tasks.
They trained Perception Encoder (PE) Core: a new state-of-the-art family of vision encoders that can be aligned for both vision-language and spatial tasks. For zero-shot image tasks, it outperforms latest sota SigLIP2 👏
> Among fine-tuned ones, first one is PE-Spatial. It's a model to detect bounding boxes, segmentation, depth estimation and it outperforms all other models 😮
> Second one is PLM, Perception Language Model, where they combine PE-Core with Qwen2.5 LM 7B. it outperforms all other models (including InternVL3 which was trained with Qwen2.5LM too!)
The authors release the following checkpoints in sizes base, large and giant:
> 3 PE-Core checkpoints (224, 336, 448)
> 2 PE-Lang checkpoints (L, G)
> One PE-Spatial (G, 448)
> 3 PLM (1B, 3B, 8B)
> Datasets
Authors release following datasets 📑
> PE Video: Gigantic video datasete of 1M videos with 120k expert annotations ⏯️
> PLM-Video and PLM-Image: Human and auto-annotated image and video datasets on region-based tasks
> PLM-VideoBench: New video benchmark on MCQA
- 2 replies
Post
2968
sayakpaul
authored
a
paper
12 days ago
Post
3460
MAGI-1 🪄 the autoregressive diffusion video model, released by Sand AI
sand-ai/MAGI-1
✨ 24B with Apache 2.0
✨ Strong temporal consistency
✨ Benchmark-topping performance
sand-ai/MAGI-1
✨ 24B with Apache 2.0
✨ Strong temporal consistency
✨ Benchmark-topping performance
- 1 reply
Post
3347
New foundation model on image and video captioning just dropped by NVIDIA AI 🔥
Describe Anything Model (DAM) is a 3B vision language model to generate detailed captions with localized references 😮
The team released the models, the dataset, a new benchmark and a demo 🤩 nvidia/describe-anything-680825bb8f5e41ff0785834c
Most of the vision LMs focus on image as a whole, lacking localized references in captions, and not taking in visual prompts (points, boxes, drawings around objects)
DAM addresses this on two levels: new vision backbone that takes in focal crops and the image itself, and a large scale dataset 👀
They generate a dataset by extending existing segmentation and referring expression generation datasets like REFCOCO, by passing in the images and classes to VLMs and generating captions.
Lastly, they also release a new benchmark again with self-supervision, they use an LLM to evaluate the detailed captions focusing on localization 👏
Describe Anything Model (DAM) is a 3B vision language model to generate detailed captions with localized references 😮
The team released the models, the dataset, a new benchmark and a demo 🤩 nvidia/describe-anything-680825bb8f5e41ff0785834c
Most of the vision LMs focus on image as a whole, lacking localized references in captions, and not taking in visual prompts (points, boxes, drawings around objects)
DAM addresses this on two levels: new vision backbone that takes in focal crops and the image itself, and a large scale dataset 👀
They generate a dataset by extending existing segmentation and referring expression generation datasets like REFCOCO, by passing in the images and classes to VLMs and generating captions.
Lastly, they also release a new benchmark again with self-supervision, they use an LLM to evaluate the detailed captions focusing on localization 👏
Post
2611
We just shipped HiDream Image LoRA fine-tuning to diffusers🧨
HiDream's sota capabilities (and mit license) bring a lot of potential to explore with fine-tunes 🔥
- more upgrades and features soon!
- code, weights and config example 👇
🧶Yarn art lora: linoyts/HiDream-yarn-art-LoRA
code: https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_hidream.md
HiDream's sota capabilities (and mit license) bring a lot of potential to explore with fine-tunes 🔥
- more upgrades and features soon!
- code, weights and config example 👇
🧶Yarn art lora: linoyts/HiDream-yarn-art-LoRA
code: https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_hidream.md
- 2 replies
Post
2397
Baidu - which committed to open source its LLM by June, has just released a demo of ERNIE 4.5 on the hub today👀
https://huggingface.co/spaces/PaddlePaddle/ernie_demo
https://huggingface.co/spaces/PaddlePaddle/ernie_demo
Post
3123
SkyReels-V2 🔥 UNLIMITED duration video generation model by Kunlun Tech-Skywork 天工
Paper: SkyReels-V2: Infinite-length Film Generative Model (2504.13074)
Model: Skywork/skyreels-v2-6801b1b93df627d441d0d0d9
✨ 1.3B & 14B
✨ Generates infinite length videos using Diffusion Forcing with diffusion models + autoregressive methods
Paper: SkyReels-V2: Infinite-length Film Generative Model (2504.13074)
Model: Skywork/skyreels-v2-6801b1b93df627d441d0d0d9
✨ 1.3B & 14B
✨ Generates infinite length videos using Diffusion Forcing with diffusion models + autoregressive methods
- 1 reply
Post
2066
Wan2.1-FLF2V🎥 a 14B start-end frame video generation model just released by Alibaba_Wan🔥
Wan-AI/Wan2.1-FLF2V-14B-720P
✨ Give it two images (start & end), it generates a smooth, high-quality video in between.
✨ Apache 2.0 licensed
✨ Built on DiT + Flow Matching
Wan-AI/Wan2.1-FLF2V-14B-720P
✨ Give it two images (start & end), it generates a smooth, high-quality video in between.
✨ Apache 2.0 licensed
✨ Built on DiT + Flow Matching
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- 1 reply
Post
1572
🤗 Just published: "Consent by Design" - exploring how we're building better consent mechanisms across the HF ecosystem!
Our research shows open AI development enables:
- Community-driven ethical standards
- Transparent accountability
- Context-specific implementations
- Privacy as core infrastructure
Check out our Space Privacy Analyzer tool that automatically generates privacy summaries of applications!
Effective consent isn't about perfect policies; it's about architectures that empower users while enabling innovation. 🚀
Read more: https://huggingface.co/blog/giadap/consent-by-design
Our research shows open AI development enables:
- Community-driven ethical standards
- Transparent accountability
- Context-specific implementations
- Privacy as core infrastructure
Check out our Space Privacy Analyzer tool that automatically generates privacy summaries of applications!
Effective consent isn't about perfect policies; it's about architectures that empower users while enabling innovation. 🚀
Read more: https://huggingface.co/blog/giadap/consent-by-design
Post
2529
Reasoning models like o3 and o4-mini are advancing faster than ever, but imagine what will be possible when they can run locally in your browser! 🤯
Well, with 🤗 Transformers.js, you can do just that! Here's Zyphra's new ZR1 model running at over 100 tokens/second on WebGPU! ⚡️
Giving models access to browser APIs (like File System, Screen Capture, and more) could unlock an entirely new class of web experiences that are personalized, interactive, and run locally in a secure, sandboxed environment.
For now, try out the demo! 👇
webml-community/Zyphra-ZR1-WebGPU
Well, with 🤗 Transformers.js, you can do just that! Here's Zyphra's new ZR1 model running at over 100 tokens/second on WebGPU! ⚡️
Giving models access to browser APIs (like File System, Screen Capture, and more) could unlock an entirely new class of web experiences that are personalized, interactive, and run locally in a secure, sandboxed environment.
For now, try out the demo! 👇
webml-community/Zyphra-ZR1-WebGPU
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- 1 reply
Post
892
After yesterday's wave of reveals, here's what's going down today in the Chinese AI community 🔥
✨ Kuaishou unveiled Kling AI 2.0
https://klingai.com/global/
✨ MiniMax AI dropped their latest TTS model Speech-02
https://minimax.io/audio
✨ Tencent Hunyuan teased the upcoming open model - Hunyuan Portrait
HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation (2503.18860)
✨ ModelScope launched an MCP Square, with 1,500 MCPs already online
https://modelscope.cn/mcp
And it's only Tuesday🌞
✨ Kuaishou unveiled Kling AI 2.0
https://klingai.com/global/
✨ MiniMax AI dropped their latest TTS model Speech-02
https://minimax.io/audio
✨ Tencent Hunyuan teased the upcoming open model - Hunyuan Portrait
HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation (2503.18860)
✨ ModelScope launched an MCP Square, with 1,500 MCPs already online
https://modelscope.cn/mcp
And it's only Tuesday🌞