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Evi1ran

Evi1ran

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Evilran

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liked a model 1 day ago

baichuan-inc/Baichuan-M2-32B

liked a dataset 1 day ago

miromind-ai/MiroVerse-v0.1

reacted to codelion's post with 🚀 1 day ago

Extended the ICM paper to show cross-model capability transfer - used Qwen3's mathematical reasoning to improve Gemma3 without any human supervision. Key results: Qwen3-0.6B: 63.2 → 66.0 on MATH-500 (+4%) Gemma3-1B: 41.0 → 45.6 on MATH-500 (+11%) The method extracts coherent reasoning patterns from one model via Internal Coherence Maximization, converts them to DPO training data, and uses that to improve a completely different model architecture. This goes beyond the original ICM paper which only improved models using their own labels. We're showing you can transfer capabilities between any models - imagine extracting capabilities from strong models to improve your local ones. Models available: https://huggingface.co/codelion/Qwen3-0.6B-ICM-DPO https://huggingface.co/codelion/gemma-3-1b-it-ICM-DPO Complete collection with code and datasets: https://huggingface.co/collections/codelion/internal-coherence-maximization-687a1bd1c1f5f1d6f76e9b3b Full methodology and results: https://huggingface.co/blog/codelion/internal-coherence-maximization Planning to extend this to code generation next. The approach could enable community-driven capability sharing between different model families without expensive annotation.

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