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How much VRAM do you need to run or fine-tune a 70B model?

Serving a 70B model takes about 141 GB of GPU memory for the weights at 16-bit, 73 GB at FP8 and 40 GB at 4-bit, plus about 0.33 GB of KV cache for every 1,000 tokens in flight. Fine-tuning takes about 50 GB with QLoRA, 150 GB with LoRA and 1.1 TB for full fine-tuning with AdamW. In practice, one 8…

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  1. 2026-10-13 15:33 · DEV Community — Machine Learning
    How much VRAM do you need to run or fine-tune a 70B model?

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