The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+
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alvarobartt
updated
a
dataset
about 7 hours ago
[Feedback] Hardware Compatibility for AMD Ryzen AI Max+ 395 aka Strix Halo
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31
6
#73 opened 7 months ago
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RobAgrees
sayakpaul
updated
a
dataset
2 days ago
dlouapre
updated
a
Space
2 days ago
lysandre
updated
a
dataset
3 days ago
qgallouedec
posted
an
update
4 days ago
Post
2373
@CohereLabs
just released 🌿 Tiny Aya: a fully open-source 3B parameter model that speaks 70+ languages 🌍! But there’s a catch:
Tiny Aya is just a language model. It doesn’t support tool calling, the key capability that turns frontier models into powerful *agents*.
So the real question is:
How hard is it to turn Tiny Aya into an agent?
Turns out… it’s simple, thanks to Hugging Face TRL.
We’re sharing a hands-on example showing how to train Tiny Aya to turn it into a tool-calling agent using TRL, unlocking what could become the first *massively multilingual open agent*.
Small model. Global reach. Agent capabilities.
👉 https://github.com/huggingface/trl/blob/main/examples/notebooks/sft_tool_calling.ipynb
Tiny Aya is just a language model. It doesn’t support tool calling, the key capability that turns frontier models into powerful *agents*.
So the real question is:
How hard is it to turn Tiny Aya into an agent?
Turns out… it’s simple, thanks to Hugging Face TRL.
We’re sharing a hands-on example showing how to train Tiny Aya to turn it into a tool-calling agent using TRL, unlocking what could become the first *massively multilingual open agent*.
Small model. Global reach. Agent capabilities.
👉 https://github.com/huggingface/trl/blob/main/examples/notebooks/sft_tool_calling.ipynb
- 1 reply
lewtun
submitted
a
paper
to Daily Papers
9 days ago
Post
3005
MiniMax M2.5 is now available on the hub 🚀
MiniMaxAI/MiniMax-M2.5
✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
MiniMaxAI/MiniMax-M2.5
✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
- 2 replies
lewtun
submitted
a
paper
to Daily Papers
11 days ago
Post
530
RynnBrain 🤖 a physics aware embodied brain for robots from Alibaba DAMO
https://huggingface.co/collections/Alibaba-DAMO-Academy/rynnbrain
✨ 2B/8B/30B (3B active)
✨ Apache 2.0
✨ Understands egocentric scenes with strong spatial awareness
✨ Tracks objects and motion over time
https://huggingface.co/collections/Alibaba-DAMO-Academy/rynnbrain
✨ 2B/8B/30B (3B active)
✨ Apache 2.0
✨ Understands egocentric scenes with strong spatial awareness
✨ Tracks objects and motion over time
- 2 replies
Post
3215
Game on 🎮🚀
While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.
GLM-5 from Z.ai adds more momentum.
Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥
Spring Festival is around the corner,
no one’s sleeping!
✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.
GLM-5 from Z.ai adds more momentum.
Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥
Spring Festival is around the corner,
no one’s sleeping!
✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
Post
3821
Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group
inclusionAI/Ming-flash-omni-2.0
✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
inclusionAI/Ming-flash-omni-2.0
✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
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- 2 replies
Post
661
LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by AntGroup
inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash
✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash
✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
- 2 replies
Post
2527
AI for science is moving fast🚀
Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab
internlm/Intern-S1-Pro
✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab
internlm/Intern-S1-Pro
✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
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- 2 replies
Post
1333
✨ China’s open source AI ecosystem has entered a new phase
https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.
This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.
https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.
This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.
Post
363
GLM just entered the OCR field🔥
zai-org/GLM-OCR
✨ 0.9B
✨ MIT licensed
✨ Multimodal GLM-V architecture
✨ #1 on OmniDocBench v1.5 (94.62)
zai-org/GLM-OCR
✨ 0.9B
✨ MIT licensed
✨ Multimodal GLM-V architecture
✨ #1 on OmniDocBench v1.5 (94.62)
Post
1587
Step 3.5 Flash 🔥 new foundation model from StepFun ai
https://huggingface.co/collections/stepfun-ai/step-35-flash
✨ Sparse MoE：196B/11B active
✨ Supports up to 256K context
✨ Multi-token prediction for fast decoding (100–300 tok/s)
✨ Runs locally on consumer hardware
https://huggingface.co/collections/stepfun-ai/step-35-flash
✨ Sparse MoE：196B/11B active
✨ Supports up to 256K context
✨ Multi-token prediction for fast decoding (100–300 tok/s)
✨ Runs locally on consumer hardware
julien-c
submitted
a
paper
to Daily Papers
23 days ago
cfahlgren1
submitted
a
paper
to Daily Papers
24 days ago
Post
1110
What a week 🤯
Following DeepSeek, Kimi, Qwen, Baidu, and Ant Group, Unitree Robotics
has now released a VLA model on the hub too!
unitreerobotics/UnifoLM-VLA-Base
Following DeepSeek, Kimi, Qwen, Baidu, and Ant Group, Unitree Robotics
has now released a VLA model on the hub too!
unitreerobotics/UnifoLM-VLA-Base