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Show HN: Fine-tune an 8B model on a 4 GB laptop GPU

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Why This Matters

Soup simplifies the process of fine-tuning large language models by enabling users to train on a standard laptop GPU with minimal setup, eliminating the need for complex infrastructure or cloud services. This democratizes access to advanced AI model customization, making it more accessible for individual developers and small teams. The latest updates enhance efficiency and memory management, allowing even modest hardware to participate in cutting-edge model training.

Key Takeaways

Soup

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.

Never SSH into a broken GPU box again. One config. A simple YAML file is all you need.

A simple YAML file is all you need. Auto everything. Batch size, GPU detection, quantization — handled.

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