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| title: README |
| emoji: 📚 |
| colorFrom: gray |
| colorTo: pink |
| sdk: static |
| pinned: false |
| license: apache-2.0 |
| short_description: Fine-tune large models on small GPUs |
| --- |
| |
| # Soup |
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| Open-source engine for fine-tuning large models on small GPUs. |
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| **8B model fine-tuned in 3.3 GB of VRAM** — on a 4 GB RTX 3050 laptop GPU. |
| Against DeepSpeed ZeRO-3 on the same machine: **2.93x the speed, 9.7x less memory.** |
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| Apache-2.0. Every measurement is published, including the runs that failed |
| and one explanation we posted and then retracted after measuring it. |
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| - Repository: https://github.com/MakazhanAlpamys/Soup |
| - Benchmarks: https://github.com/MakazhanAlpamys/Soup/tree/main/benchmarks |
| - Paper: https://trysoup.dev/docs/paper |
| - Run it yourself on a free Colab T4: https://trysoup.dev/docs/layer-streaming#run-it-yourself-on-a-free-colab-t4 |
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| Install: |
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| pip install "soup-cli[train]" |
| |
| Ollama made running models something you do on your own machine. |
| We are doing that for training them. |
