Small Models Struggle to Learn from Strong Reasoners
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2502.12143
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yuchenlin
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bluelike
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510
OPEA Space has released several quantized DeepSeek models, including INT2. Explore them here
OPEA/deepseek-6784a012d91191015587584a
OPEA/deepseek-6784a012d91191015587584a
Post
553
VLM-R1🔥bringing DeepSeek’s R1 method to vision language models!
GitHub: https://github.com/om-ai-lab/VLM-R1
Demo: omlab/VLM-R1-Referral-Expression
GitHub: https://github.com/om-ai-lab/VLM-R1
Demo: omlab/VLM-R1-Referral-Expression
KnutJaegersberg
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an
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1 day ago
Post
539
Mimicking Consciousness in LLMs: Ascending the Dimensions of Thought with Recurrent Processing
This blog post explores how **recurrent processing** can transform Large Language Models (LLMs) to mimic aspects of human thought by engaging in iterative feedback loops. Inspired by string theory, the post describes how LLMs can "ascend dimensions" of cognition, progressing through foundational cognitive loops—such as basic cognition, executive functions, and meta-cognition—before advancing into **world simulation**. In this stage, LLMs explore higher dimensions, perceiving non-linear time, simulating branching possibilities, and integrating multiple realities. The interaction between the **Generator** and **Reflective Compass** allows AI systems to refine their outputs iteratively, moving toward a **point attractor** where ideas become coherent and polished. While this process doesn't bestow true consciousness, it offers a compelling imitation of reflective and adaptive thinking, leading to smarter dialogue, enhanced creativity, and more robust problem-solving.
https://huggingface.co/blog/KnutJaegersberg/oscillatory-recurrence-for-llms
This blog post explores how **recurrent processing** can transform Large Language Models (LLMs) to mimic aspects of human thought by engaging in iterative feedback loops. Inspired by string theory, the post describes how LLMs can "ascend dimensions" of cognition, progressing through foundational cognitive loops—such as basic cognition, executive functions, and meta-cognition—before advancing into **world simulation**. In this stage, LLMs explore higher dimensions, perceiving non-linear time, simulating branching possibilities, and integrating multiple realities. The interaction between the **Generator** and **Reflective Compass** allows AI systems to refine their outputs iteratively, moving toward a **point attractor** where ideas become coherent and polished. While this process doesn't bestow true consciousness, it offers a compelling imitation of reflective and adaptive thinking, leading to smarter dialogue, enhanced creativity, and more robust problem-solving.
https://huggingface.co/blog/KnutJaegersberg/oscillatory-recurrence-for-llms
alielfilali01
posted
an
update
1 day ago
Post
485
🚨 Arabic LLM Evaluation 🚨
Few models join the ranking of inceptionai/AraGen-Leaderboard Today.
The new MistralAI model, Saba, is quite impressive, Top10 ! Well done @arthurmensch and team.
Sadly Mistral did not follow its strategy about public weights this time, we hope this changes soon and we get the model with a permissive license.
We added other Mistral models and apparently, we have been sleeping on mistralai/Mistral-Large-Instruct-2411 !
Another impressive model that joined the ranking today is ALLaM-AI/ALLaM-7B-Instruct-preview. After a long wait finally ALLaM is here and it is IMPRESSIVE given its size !
ALLaM is ranked on OALL/Open-Arabic-LLM-Leaderboard as well.
Few models join the ranking of inceptionai/AraGen-Leaderboard Today.
The new MistralAI model, Saba, is quite impressive, Top10 ! Well done @arthurmensch and team.
Sadly Mistral did not follow its strategy about public weights this time, we hope this changes soon and we get the model with a permissive license.
We added other Mistral models and apparently, we have been sleeping on mistralai/Mistral-Large-Instruct-2411 !
Another impressive model that joined the ranking today is ALLaM-AI/ALLaM-7B-Instruct-preview. After a long wait finally ALLaM is here and it is IMPRESSIVE given its size !
ALLaM is ranked on OALL/Open-Arabic-LLM-Leaderboard as well.
bluelike
published
3
models
1 day ago
Post
4075
🚀 StepFun阶跃星辰 is making BIG open moves!
Last year, their GOT-OCR 2.0 took the community by storm 🔥but many didn’t know they were also building some amazing models. Now, they’ve just dropped something huge on the hub!
📺 Step-Video-T2V: a 30B bilingual open video model that generates 204 frames (8-10s) at 540P resolution with high information density & consistency.
stepfun-ai/stepvideo-t2v
🔊 Step-Audio-TTS-3B : a TTS trained with the LLM-Chat paradigm on a large synthetic dataset, capable of generating RAP & Humming
stepfun-ai/step-audio-67b33accf45735bb21131b0b
Last year, their GOT-OCR 2.0 took the community by storm 🔥but many didn’t know they were also building some amazing models. Now, they’ve just dropped something huge on the hub!
📺 Step-Video-T2V: a 30B bilingual open video model that generates 204 frames (8-10s) at 540P resolution with high information density & consistency.
stepfun-ai/stepvideo-t2v
🔊 Step-Audio-TTS-3B : a TTS trained with the LLM-Chat paradigm on a large synthetic dataset, capable of generating RAP & Humming
stepfun-ai/step-audio-67b33accf45735bb21131b0b
- 3 replies
Post
2335
The latest paper of DeepSeek is now available on the Daily Papers page 🚀
You can reach out to the authors directly on this page👇
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention (2502.11089)
You can reach out to the authors directly on this page👇
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention (2502.11089)
- 1 reply
cannot import name 'Qwen2_5_VLImageProcessor' (on vLLM)
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#11 opened 4 days ago
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cbrug
bluelike
updated
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5 days ago
chenkq
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5 days ago
littlebird13
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6 days ago