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GitHub - MakazhanAlpamys/Soup: Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

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Fine-tune and post-train LLMs in one command. No SSH, no config hell. Website · Quick Start · Config · Docs · Commands · Models · Discord Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done. pip install " soup-cli[train] " # add [train] to fine-tune; bare `soup-cli` is the light CLI soup init --template chat soup train Why Soup? Training LLMs is still painful. Even experienced teams spend 30-50% of their time fighting infrastructure instead of improving models. Soup fixes that. Zero SSH. Never SSH into a broken GPU box again. One config. A simple YAML file is all you need. Auto everything. Batch size, GPU detection, quantization — handled. Works locally. Train on your own GPU with QLoRA. No cloud required. What's New v0.72.4 — align on a laptop: DPO, ORPO, SimPO and KTO over layer streaming. Layer streaming keeps the frozen base out of VRAM and feeds it to the GPU one decoder layer at a time.…

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