Raman-01 – A Pocket Physics Solver LLM
I built a tiny physics solver LLM that performs surprisingly well on easy-to-medium difficulty physics problems. Most LLMs today still struggle with physics QA (as PhyBench recently highlighted), so I wanted to see how far I could push a small model with careful data and minimal compute. Model: Qwen3-1.7B Supervised Finetuning: ~1500 curated examples spanning kinematics, EM, acoustics, and more RL Fine-tuning: GRPO, 1-shot RLVR style (single example, 70 steps) Total cost: ~$5 on H100 It started with a cold-start SFT (~3 epochs, loss to 0.3), then I ran RL with accuracy reward that climbed…
Raman-01 – A Pocket Physics Solver LLM launched on May 5, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Raman-01 is a compact, RL-finetuned LLM tailored specifically for solving physics problems. Built to be lightweight and easily deployable, it excels at tackling easy-to-medium difficulty physics questions across diverse domains. @misc{raman01, author = {Sai Praneeth Diddigam}, title = {Raman-01: Compact RL-Enhanced Physics Solver}, year = {2025}, note = {RL (GRPO) finetuned on Qwen3-1.7B} } Developed to be your go-to physics solver, Raman-01 packs powerful performance into a conveniently smallfrom huggingface.co
In the maker’s words, at launch
I built a tiny physics solver LLM that performs surprisingly well on easy-to-medium difficulty physics problems. Most LLMs today still struggle with physics QA (as PhyBench recently highlighted), so I wanted to see how far I could push a small model with careful data and minimal compute. Model: Qwen3-1.7B Supervised…
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