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Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU

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75
Hype
25
In three linesHugging Face demonstrates RLHF fine-tuning of a 20B model on 24GB consumer GPU (RTX 4090). Uses quantization and memory optimizations to reduce requirements from 780GB to 24GB. Code and benchmarks available.
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Fine-tuningReinforcement learningOpen sourceTools

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