huggingface-projects/Deep-RL-Course-Certification
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ThomasSimonini
updated
a
dataset
about 4 hours ago
Post
565
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
2543
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
2383
sayakpaul
authored
a
paper
5 days ago
Post
2788
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
2767
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
2451
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
2016
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
2838
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
1864
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
1525
🤗 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
2458
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
740
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🌞
Post
955
🔥 Big day for the Chinese open source AI community:
zh-ai-community
> Skywork AI :
Released 7B/32B reasoning models excels in math & coding
Skywork/skywork-or1-67fa1bcb41b436ef2def76b9
> Moonshot AI & Numina:
Dropped 1.5B/7B POWERFUL formal math reasoning models
AI-MO/kimina-prover-preview-67fb536b883d60e7ca25d7f9
> Zhipu AI :
Launched 9B/32B reasoning models powering their first general AI agent - AutoGLM ✨
THUDM/glm-4-0414-67f3cbcb34dd9d252707cb2e
> DeepSeek :
Announced to open source its internal inference engine: DeepSeek Inference Engine
https://github.com/deepseek-ai/open-infra-index/blob/main/OpenSourcing_DeepSeek_Inference_Engine/README.md
Can't wait for more exciting releases coming 🥳
zh-ai-community
> Skywork AI :
Released 7B/32B reasoning models excels in math & coding
Skywork/skywork-or1-67fa1bcb41b436ef2def76b9
> Moonshot AI & Numina:
Dropped 1.5B/7B POWERFUL formal math reasoning models
AI-MO/kimina-prover-preview-67fb536b883d60e7ca25d7f9
> Zhipu AI :
Launched 9B/32B reasoning models powering their first general AI agent - AutoGLM ✨
THUDM/glm-4-0414-67f3cbcb34dd9d252707cb2e
> DeepSeek :
Announced to open source its internal inference engine: DeepSeek Inference Engine
https://github.com/deepseek-ai/open-infra-index/blob/main/OpenSourcing_DeepSeek_Inference_Engine/README.md
Can't wait for more exciting releases coming 🥳
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- 1 reply
Post
4212
sooo many open AI releases past week, let's summarize! 🤗
merve/april-11-releases-67fcd78be33d241c0977b9d2
multimodal
> Moonshot AI released Kimi VL Thinking, first working open-source multimodal reasoning model and Kimi VL Instruct, both 16B MoEs with 3B active params (OS)
> InternVL3 released based on Qwen2.5VL, 7 ckpts with various sizes (1B to 78B)
LLMs
> NVIDIA released Llama-3_1-Nemotron-Ultra-253B-v1 an LLM built on Llama 405B for reasoning, chat and tool use
> Agentica released DeepCoder-14B-Preview, fine-tuned version of DeepSeek-R1-Distilled-Qwen-14B on problem-test pairs, along with the compiled dataset
> Zyphra/ZR1-1.5B is a new small reasoning LLM built on R1-Distill-1.5B (OS)
> Skywork-OR1-32B-Preview is a new reasoning model by Skywork
Image Generation
> HiDream releases three new models, HiDream I1 Dev, I1 Full, and I1 fast for image generation (OS)
*OS ones have Apache 2.0 or MIT licenses
merve/april-11-releases-67fcd78be33d241c0977b9d2
multimodal
> Moonshot AI released Kimi VL Thinking, first working open-source multimodal reasoning model and Kimi VL Instruct, both 16B MoEs with 3B active params (OS)
> InternVL3 released based on Qwen2.5VL, 7 ckpts with various sizes (1B to 78B)
LLMs
> NVIDIA released Llama-3_1-Nemotron-Ultra-253B-v1 an LLM built on Llama 405B for reasoning, chat and tool use
> Agentica released DeepCoder-14B-Preview, fine-tuned version of DeepSeek-R1-Distilled-Qwen-14B on problem-test pairs, along with the compiled dataset
> Zyphra/ZR1-1.5B is a new small reasoning LLM built on R1-Distill-1.5B (OS)
> Skywork-OR1-32B-Preview is a new reasoning model by Skywork
Image Generation
> HiDream releases three new models, HiDream I1 Dev, I1 Full, and I1 fast for image generation (OS)
*OS ones have Apache 2.0 or MIT licenses
- 4 replies
Post
3192
🔥 New reasoning models from the Chinese community, by Skywork 天工-昆仑万维
Skywork/skywork-or1-67fa1bcb41b436ef2def76b9
✨Skywork OR1-Math-7B > Optimized for math reasoning
✨Skywork-OR1-7B-preview > Excels in math & coding
✨Skywork-OR1-32B-preview > Matches Deepseek-R1 on math (AIME24/25) and coding (LiveCodeBench)
Released under the Apache 2.0 license 🥳
Final version coming in 2 weeks!
Skywork/skywork-or1-67fa1bcb41b436ef2def76b9
✨Skywork OR1-Math-7B > Optimized for math reasoning
✨Skywork-OR1-7B-preview > Excels in math & coding
✨Skywork-OR1-32B-preview > Matches Deepseek-R1 on math (AIME24/25) and coding (LiveCodeBench)
Released under the Apache 2.0 license 🥳
Final version coming in 2 weeks!
Post
3191
Shanghai AI Lab - OpenGV team just released InternVL3 🔥
OpenGVLab/internvl3-67f7f690be79c2fe9d74fe9d
✨ 1/2/8/9/14/38/28B with MIT license
✨ Stronger perception & reasoning vs InternVL 2.5
✨ Native Multimodal Pre-Training for even better language performance
OpenGVLab/internvl3-67f7f690be79c2fe9d74fe9d
✨ 1/2/8/9/14/38/28B with MIT license
✨ Stronger perception & reasoning vs InternVL 2.5
✨ Native Multimodal Pre-Training for even better language performance
- 1 reply
Post
2715
Moonshot AI 月之暗面 🌛 @Kimi_Moonshotis just dropped an MoE VLM and an MoE Reasoning VLM on the hub!!
Model:https://huggingface.co/collections/moonshotai/kimi-vl-a3b-67f67b6ac91d3b03d382dd85
✨3B with MIT license
✨Long context windows up to 128K
✨Strong multimodal reasoning (36.8% on MathVision, on par with 10x larger models) and agent skills (34.5% on ScreenSpot-Pro)
Model:https://huggingface.co/collections/moonshotai/kimi-vl-a3b-67f67b6ac91d3b03d382dd85
✨3B with MIT license
✨Long context windows up to 128K
✨Strong multimodal reasoning (36.8% on MathVision, on par with 10x larger models) and agent skills (34.5% on ScreenSpot-Pro)
pcuenq
authored
a
paper
20 days ago