Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
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Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
refrain-wbh
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about 13 hours ago
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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
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akhaliq
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about 19 hours ago
ly4096
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1 day ago
AWQ quantization
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8
#1 opened 7 days ago
by
dr-e
littlebird13
updated
a
dataset
5 days ago
yangapku
published
a
dataset
5 days ago
refrain-wbh
updated
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5 days ago
Post
2399
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
Losin94
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6 days ago
JustinLin610
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6 days ago
Guide to Run Qwen3-Coder-Next Locally via GGUF and FP8. 💜
❤️
6
2
#13 opened 6 days ago
by
danielhanchen
littlebird13
updated
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model
6 days ago
Thank you!
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11
#1 opened 7 days ago
by
ehartford
JustinLin610
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4
models
7 days ago
Post
1248
✨ 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.
JustinLin610
updated
a
model
7 days ago