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Jeremie Tisby

Frobenius
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replied to lewtun's post about 1 month ago
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Wow people... This is CRACKED! THANK YOU HF!!!

reacted to lewtun's post with ๐Ÿ”ฅ about 1 month ago
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We outperform Llama 70B with Llama 3B on hard math by scaling test-time compute ๐Ÿ”ฅ

How? By combining step-wise reward models with tree search algorithms :)

We show that smol models can match or exceed the performance of their much larger siblings when given enough "time to think"

We're open sourcing the full recipe and sharing a detailed blog post.

In our blog post we cover:

๐Ÿ“ˆ Compute-optimal scaling: How we implemented DeepMind's recipe to boost the mathematical capabilities of open models at test-time.

๐ŸŽ„ Diverse Verifier Tree Search (DVTS): An unpublished extension we developed to the verifier-guided tree search technique. This simple yet effective method improves diversity and delivers better performance, particularly at large test-time compute budgets.

๐Ÿงญ Search and Learn: A lightweight toolkit for implementing search strategies with LLMs and built for speed with vLLM

Here's the links:

- Blog post: HuggingFaceH4/blogpost-scaling-test-time-compute

- Code: https://github.com/huggingface/search-and-learn

Enjoy!
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