A Short Summary of Chinese AI Global Expansion
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Adina Yakefu
AdinaY
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updated
a collection
about 5 hours ago
2025 January
replied to
their
post
about 7 hours ago
🔥So many exciting releases coming from the Chinese community this month!
https://huggingface.co/collections/zh-ai-community/2025-january-6786b054f492fb223591269e
LLMs:
✨ Qwen2.5 -1M by Alibaba
https://huggingface.co/collections/Qwen/qwen25-1m-679325716327ec07860530ba
✨ InternLM3-8B-Instruct by Shanghai AI Lab
https://huggingface.co/internlm/internlm3-8b-instruct
✨ MiniMax-Text-01 by MiniMax AI
https://huggingface.co/MiniMaxAI/MiniMax-Text-01
✨ RWKV-7 by BlinkDL -- RNN + Transformer 👀
https://huggingface.co/BlinkDL/rwkv-7-world
✨ DeepSeek-R1 by DeepSeek -- THE ONE 🙌
https://huggingface.co/deepseek-ai
✨ Baichuan-M1-14B by Baichuan - Medical 🩺
https://huggingface.co/baichuan-inc/Baichuan-M1-14B-Base
✨ Qwen2.5-Math-PRM by Alibaba - Math 🔢
https://huggingface.co/Qwen/Qwen2.5-Math-PRM-7B
Code:
✨ Tare by Bytedance
https://trae.ai
TTS:
✨ T2A-01-HD by MiniMax AI
https://hailuo.ai/audio
✨ LLaSA by HKUST Audio
https://huggingface.co/HKUSTAudio/Llasa-3B
MLLM:
✨ Kimi k1.5 by Moonshot AI
https://kimi.ai
✨ MiniCPM-o-2_6 by OpenBMB
https://huggingface.co/openbmb/MiniCPM-o-2_6
✨ Sa2VA-4B by ByteDance
https://huggingface.co/ByteDance/Sa2VA-4B
✨ VideoLLaMA 3 by Alibaba DAMO
https://huggingface.co/collections/DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
✨ LLaVA-Mini by Chinese Academy of Sciences
https://huggingface.co/ICTNLP/llava-mini-llama-3.1-8b
✨Hunyuan-7B by Tencent
https://huggingface.co/tencent/Hunyuan-7B-Instruct
✨ Hunyuan 3D 2.0 by Tencent
https://huggingface.co/tencent/Hunyuan3D-2
✨MiniMax-VL-01 by MiniMax AI - A non transformer based VLM 👀
https://huggingface.co/MiniMaxAI/MiniMax-VL-01
Agent:
✨ UI-TARS by Bytedance
https://huggingface.co/bytedance-research/UI-TARS-7B-SFT
✨ GLM-PC by Zhipu AI
https://cogagent.aminer.cn
Dataset:
✨ Fineweb-Edu-Chinese by Opencsg
https://huggingface.co/datasets/opencsg/Fineweb-Edu-Chinese-V2.1
✨ Multimodal_textbook by Alibaba
https://huggingface.co/datasets/DAMO-NLP-SG/multimodal_textbook
✨ MME-Finance by Hithink AI
Articles
Organizations
AdinaY's activity
replied to
their
post
about 7 hours ago
What a month! 🤯
Let’s add the two more major releases to the list!
✨Qwen2.5-VL by Alibaba
https://huggingface.co/collections/Qwen/qwen25-vl-6795ffac22b334a837c0f9a5
✨Janus-pro by DeepSeek
https://huggingface.co/deepseek-ai/Janus-Pro-7B
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clem's
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about 7 hours ago
Post
1234
AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!
replied to
their
post
about 10 hours ago
Good catch! Qwen team also mentioned there'll be some surprise. 👀
posted
an
update
about 19 hours ago
Post
1094
🔥So many exciting releases coming from the Chinese community this month!
zh-ai-community/2025-january-6786b054f492fb223591269e
LLMs:
✨ Qwen2.5 -1M by Alibaba
Qwen/qwen25-1m-679325716327ec07860530ba
✨ InternLM3-8B-Instruct by Shanghai AI Lab
internlm/internlm3-8b-instruct
✨ MiniMax-Text-01 by MiniMax AI
MiniMaxAI/MiniMax-Text-01
✨ RWKV-7 by BlinkDL -- RNN + Transformer 👀
BlinkDL/rwkv-7-world
✨ DeepSeek-R1 by DeepSeek -- THE ONE 🙌
https://huggingface.co/deepseek-ai
✨ Baichuan-M1-14B by Baichuan - Medical 🩺
baichuan-inc/Baichuan-M1-14B-Base
✨ Qwen2.5-Math-PRM by Alibaba - Math 🔢
Qwen/Qwen2.5-Math-PRM-7B
Code:
✨ Tare by Bytedance
https://trae.ai
TTS:
✨ T2A-01-HD by MiniMax AI
https://hailuo.ai/audio
✨ LLaSA by HKUST Audio
HKUSTAudio/Llasa-3B
MLLM:
✨ Kimi k1.5 by Moonshot AI
https://kimi.ai
✨ MiniCPM-o-2_6 by OpenBMB
openbmb/MiniCPM-o-2_6
✨ Sa2VA-4B by ByteDance
ByteDance/Sa2VA-4B
✨ VideoLLaMA 3 by Alibaba DAMO
DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
✨ LLaVA-Mini by Chinese Academy of Sciences
ICTNLP/llava-mini-llama-3.1-8b
✨Hunyuan-7B by Tencent
tencent/Hunyuan-7B-Instruct
✨ Hunyuan 3D 2.0 by Tencent
tencent/Hunyuan3D-2
✨MiniMax-VL-01 by MiniMax AI - A non transformer based VLM 👀
MiniMaxAI/MiniMax-VL-01
Agent:
✨ UI-TARS by Bytedance
bytedance-research/UI-TARS-7B-SFT
✨ GLM-PC by Zhipu AI
https://cogagent.aminer.cn
Dataset:
✨ Fineweb-Edu-Chinese by Opencsg
opencsg/Fineweb-Edu-Chinese-V2.1
✨ Multimodal_textbook by Alibaba
DAMO-NLP-SG/multimodal_textbook
✨ MME-Finance by Hithink AI
zh-ai-community/2025-january-6786b054f492fb223591269e
LLMs:
✨ Qwen2.5 -1M by Alibaba
Qwen/qwen25-1m-679325716327ec07860530ba
✨ InternLM3-8B-Instruct by Shanghai AI Lab
internlm/internlm3-8b-instruct
✨ MiniMax-Text-01 by MiniMax AI
MiniMaxAI/MiniMax-Text-01
✨ RWKV-7 by BlinkDL -- RNN + Transformer 👀
BlinkDL/rwkv-7-world
✨ DeepSeek-R1 by DeepSeek -- THE ONE 🙌
https://huggingface.co/deepseek-ai
✨ Baichuan-M1-14B by Baichuan - Medical 🩺
baichuan-inc/Baichuan-M1-14B-Base
✨ Qwen2.5-Math-PRM by Alibaba - Math 🔢
Qwen/Qwen2.5-Math-PRM-7B
Code:
✨ Tare by Bytedance
https://trae.ai
TTS:
✨ T2A-01-HD by MiniMax AI
https://hailuo.ai/audio
✨ LLaSA by HKUST Audio
HKUSTAudio/Llasa-3B
MLLM:
✨ Kimi k1.5 by Moonshot AI
https://kimi.ai
✨ MiniCPM-o-2_6 by OpenBMB
openbmb/MiniCPM-o-2_6
✨ Sa2VA-4B by ByteDance
ByteDance/Sa2VA-4B
✨ VideoLLaMA 3 by Alibaba DAMO
DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
✨ LLaVA-Mini by Chinese Academy of Sciences
ICTNLP/llava-mini-llama-3.1-8b
✨Hunyuan-7B by Tencent
tencent/Hunyuan-7B-Instruct
✨ Hunyuan 3D 2.0 by Tencent
tencent/Hunyuan3D-2
✨MiniMax-VL-01 by MiniMax AI - A non transformer based VLM 👀
MiniMaxAI/MiniMax-VL-01
Agent:
✨ UI-TARS by Bytedance
bytedance-research/UI-TARS-7B-SFT
✨ GLM-PC by Zhipu AI
https://cogagent.aminer.cn
Dataset:
✨ Fineweb-Edu-Chinese by Opencsg
opencsg/Fineweb-Edu-Chinese-V2.1
✨ Multimodal_textbook by Alibaba
DAMO-NLP-SG/multimodal_textbook
✨ MME-Finance by Hithink AI
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1929
7 Open-source Methods to Improve Video Generation and Understanding
AI community is making great strides toward achieving the full potential of multimodality in video generation and understanding. Last week studies showed that working with videos is now one of the main focuses for improving AI models. Another highlight of the week is that open source, once again, proves its value. For those who were impressed by DeepSeek-R1, we’re with you!
Today, we’re combining these two key focuses and bringing you a list of open-source methods for better video generation and understanding:
1. VideoLLaMA 3 model: Excels in various video and image tasks thanks to vision-centric training approach. VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding (2501.13106)
2. FILMAGENT framework assigns roles to multiple AI agents, like a director, screenwriter, actor, and cinematographer, to automate the filmmaking process in 3D virtual environments. FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces (2501.12909)
3. Improving Video Generation with Human Feedback (2501.13918) proposes a new VideoReward Model and approach that uses human feedback to refine video generation models.
4. DiffuEraser video inpainting model, based on stable diffusion, is designed to fill in missing areas with detailed, realistic content and to ensure consistent structures across frames. DiffuEraser: A Diffusion Model for Video Inpainting (2501.10018)
5. MAGI is a hybrid video gen model that combines masked and casual modeling. Its key innovation, Complete Teacher Forcing (CTF), conditions masked frames on fully visible frames. Taming Teacher Forcing for Masked Autoregressive Video Generation (2501.12389)
6. Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise (2501.08331) proposes motion control, allowing users to guide how objects or the camera move in generated videos. Its noise warping algorithm replaces random noise in videos with structured noise based on motion info.
7. Video Depth Anything model estimates depth consistently in super-long videos (several minutes or more) without sacrificing quality or speed. Video Depth Anything: Consistent Depth Estimation for Super-Long Videos (2501.12375)
AI community is making great strides toward achieving the full potential of multimodality in video generation and understanding. Last week studies showed that working with videos is now one of the main focuses for improving AI models. Another highlight of the week is that open source, once again, proves its value. For those who were impressed by DeepSeek-R1, we’re with you!
Today, we’re combining these two key focuses and bringing you a list of open-source methods for better video generation and understanding:
1. VideoLLaMA 3 model: Excels in various video and image tasks thanks to vision-centric training approach. VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding (2501.13106)
2. FILMAGENT framework assigns roles to multiple AI agents, like a director, screenwriter, actor, and cinematographer, to automate the filmmaking process in 3D virtual environments. FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces (2501.12909)
3. Improving Video Generation with Human Feedback (2501.13918) proposes a new VideoReward Model and approach that uses human feedback to refine video generation models.
4. DiffuEraser video inpainting model, based on stable diffusion, is designed to fill in missing areas with detailed, realistic content and to ensure consistent structures across frames. DiffuEraser: A Diffusion Model for Video Inpainting (2501.10018)
5. MAGI is a hybrid video gen model that combines masked and casual modeling. Its key innovation, Complete Teacher Forcing (CTF), conditions masked frames on fully visible frames. Taming Teacher Forcing for Masked Autoregressive Video Generation (2501.12389)
6. Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise (2501.08331) proposes motion control, allowing users to guide how objects or the camera move in generated videos. Its noise warping algorithm replaces random noise in videos with structured noise based on motion info.
7. Video Depth Anything model estimates depth consistently in super-long videos (several minutes or more) without sacrificing quality or speed. Video Depth Anything: Consistent Depth Estimation for Super-Long Videos (2501.12375)
posted
an
update
4 days ago
Post
1258
Baichuan is making big moves today 🔥
✨ Launched All-Scenario Reasoning Model (language, visual, and search reasoning capabilities) , with medical expertise as one of its key highlights.
https://ying.baichuan-ai.com/chat
✨ Released Baichuan-M1-14B Medical LLM on the hub
Available in both Base and Instruct versions, support English & Chinese.
Model:
baichuan-inc/Baichuan-M1-14B-Base
baichuan-inc/Baichuan-M1-14B-Instruct
✨ Launched All-Scenario Reasoning Model (language, visual, and search reasoning capabilities) , with medical expertise as one of its key highlights.
https://ying.baichuan-ai.com/chat
✨ Released Baichuan-M1-14B Medical LLM on the hub
Available in both Base and Instruct versions, support English & Chinese.
Model:
baichuan-inc/Baichuan-M1-14B-Base
baichuan-inc/Baichuan-M1-14B-Instruct
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KnutJaegersberg's
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4 days ago
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1515
DeepSeek R1 on how to build conscious AGI
https://huggingface.co/blog/KnutJaegersberg/deepseek-r1-on-conscious-agi
https://huggingface.co/blog/KnutJaegersberg/deepseek-r1-on-conscious-agi
- 3 replies
posted
an
update
4 days ago
Post
1340
VideoLLaMA 3🔥multimodal foundation models for Image and Video Understanding by DAMO Alibaba
Model: DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
Paper: VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding (2501.13106)
✨ 2B/7B
✨ Apache2.0
Model: DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
Paper: VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding (2501.13106)
✨ 2B/7B
✨ Apache2.0
- 1 reply
posted
an
update
5 days ago
Post
2501
UI-TARS 🔥 series of native GUI agent models (2B/7B/72B) released by ByteDance, combining perception, reasoning, grounding, and memory into one system.
Model: https://huggingface.co/bytedance-research
Paper: UI-TARS: Pioneering Automated GUI Interaction with Native Agents (2501.12326)
Model: https://huggingface.co/bytedance-research
Paper: UI-TARS: Pioneering Automated GUI Interaction with Native Agents (2501.12326)
posted
an
update
7 days ago
Post
2720
What happened yesterday in the Chinese AI community? 🚀
T2A-01-HD 👉 https://hailuo.ai/audio
MiniMax's Text-to-Audio model, now in Hailuo AI, offers 300+ voices in 17+ languages and instant emotional voice cloning.
Tare 👉 https://www.trae.ai/
A new coding tool by Bytedance for professional developers, supporting English & Chinese with free access to Claude 3.5 and GPT-4 for a limited time.
DeepSeek-R1 Series 👉 deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d
Open-source reasoning models with MIT license by DeepSeek.
Kimi K 1.5 👉 https://github.com/MoonshotAI/Kimi-k1.5 | https://kimi.ai/
An O1-level multi-modal model by MoonShot AI, utilizing reinforcement learning with long and short-chain-of-thought and supporting up to 128k tokens.
And today…
Hunyuan 3D-2.0 👉 tencent/Hunyuan3D-2
A SoTA 3D synthesis system for high-res textured assets by Tencent Hunyuan , with open weights and code!
Stay tuned for more updates 👉 https://huggingface.co/zh-ai-community
T2A-01-HD 👉 https://hailuo.ai/audio
MiniMax's Text-to-Audio model, now in Hailuo AI, offers 300+ voices in 17+ languages and instant emotional voice cloning.
Tare 👉 https://www.trae.ai/
A new coding tool by Bytedance for professional developers, supporting English & Chinese with free access to Claude 3.5 and GPT-4 for a limited time.
DeepSeek-R1 Series 👉 deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d
Open-source reasoning models with MIT license by DeepSeek.
Kimi K 1.5 👉 https://github.com/MoonshotAI/Kimi-k1.5 | https://kimi.ai/
An O1-level multi-modal model by MoonShot AI, utilizing reinforcement learning with long and short-chain-of-thought and supporting up to 128k tokens.
And today…
Hunyuan 3D-2.0 👉 tencent/Hunyuan3D-2
A SoTA 3D synthesis system for high-res textured assets by Tencent Hunyuan , with open weights and code!
Stay tuned for more updates 👉 https://huggingface.co/zh-ai-community
posted
an
update
7 days ago
Post
810
Hunyuan 3D 2.0🔥 a synthesis system for high-res textured 3D assets released by Tencent Hunyuan
2 key components: Hunyuan3D-DiT (geometry) and Hunyuan3D-Paint (textures) work together, achieving highly realistic 3D results.
Model: tencent/Hunyuan3D-2
Demo coming soon!
2 key components: Hunyuan3D-DiT (geometry) and Hunyuan3D-Paint (textures) work together, achieving highly realistic 3D results.
Model: tencent/Hunyuan3D-2
Demo coming soon!
posted
an
update
8 days ago
Post
2768
BIG release by DeepSeek AI🔥🔥🔥
DeepSeek-R1 & DeepSeek-R1-Zero: two 660B reasoning models are here, alongside 6 distilled dense models (based on Llama & Qwen) for the community!
https://huggingface.co/deepseek-ai
deepseek-ai/DeepSeek-R1
✨ MIT License : enabling distillation for custom models
✨ 32B & 70B models match OpenAI o1-mini in multiple capabilities
✨ API live now! Access Chain of Thought reasoning with model='deepseek-reasoner'
DeepSeek-R1 & DeepSeek-R1-Zero: two 660B reasoning models are here, alongside 6 distilled dense models (based on Llama & Qwen) for the community!
https://huggingface.co/deepseek-ai
deepseek-ai/DeepSeek-R1
✨ MIT License : enabling distillation for custom models
✨ 32B & 70B models match OpenAI o1-mini in multiple capabilities
✨ API live now! Access Chain of Thought reasoning with model='deepseek-reasoner'
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nataliaElv's
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10 days ago
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1419
New chapter in the Hugging Face NLP course! 🤗 🚀
We've added a new chapter about the very basics of Argilla to the Hugging Face NLP course. Learn how to set up an Argilla instance, load & annotate datasets, and export them to the Hub.
Any feedback for improvements welcome!
https://huggingface.co/learn/nlp-course/chapter10
We've added a new chapter about the very basics of Argilla to the Hugging Face NLP course. Learn how to set up an Argilla instance, load & annotate datasets, and export them to the Hub.
Any feedback for improvements welcome!
https://huggingface.co/learn/nlp-course/chapter10
posted
an
update
11 days ago
Post
1339
New work from Alibaba_Qwen🔥
Qwen2.5-Math-PRM 7B & 72B 🔢 Process Reward Models for enhanced process supervision in the mathematical reasoning of LLMs.
Paper:
The Lessons of Developing Process Reward Models in Mathematical Reasoning (2501.07301)
Model:
Qwen/Qwen2.5-Math-PRM-7B
Qwen/Qwen2.5-Math-PRM-72B
Qwen2.5-Math-PRM 7B & 72B 🔢 Process Reward Models for enhanced process supervision in the mathematical reasoning of LLMs.
Paper:
The Lessons of Developing Process Reward Models in Mathematical Reasoning (2501.07301)
Model:
Qwen/Qwen2.5-Math-PRM-7B
Qwen/Qwen2.5-Math-PRM-72B
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12 days ago
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38275
We’re launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 22 replies