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reacted to alibidaran's post with ❤️ 4 days ago

This shared notebook comprises the MMLU benchmark evaluating task for my latest reasoning model for the sociology field. The results show that using Few-shot prompting in the system prompt can significantly improve the model's performance at answering questions. Model's link: https://huggingface.co/alibidaran/GRPO_LLAMA3-instructive_reasoning1 Notebook evaluation: https://www.kaggle.com/code/alibidaran/mmlu-socialogy-thinking-evals?scriptVersionId=277240033

reacted to evalstate's post with 🚀 5 days ago

Hugging Face MCP Server v0.2.45 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - New! Experimental dynamic_space tool. - Default Image Generator changed to Qwen-Image-Fast

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WeiboAI/VibeThinker-1.5B

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WeiboAI/VibeThinker-1.5B

Text Generation • 2B • Updated 4 days ago • 8.72k • 332

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HelpingAI/hai3.1-checkpoint-0002

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ai4bharat/indicvoices_r

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