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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: apache-2.0
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+ short_description: Fine-tune large models on small GPUs
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+ # 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.
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+ 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
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+ and one explanation we posted and then retracted after measuring it.
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+ - Repository: https://github.com/MakazhanAlpamys/Soup
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+ - Benchmarks: https://github.com/MakazhanAlpamys/Soup/tree/main/benchmarks
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+ - Paper: https://trysoup.dev/docs/paper
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+ - 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]"
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+ Ollama made running models something you do on your own machine.
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+ We are doing that for training them.