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Llama vs Qwen vs DeepSeek: How Much VRAM Do You Need to Self-Host?

If you're moving an LLM from a cloud API to your own server, the first thing to calculate is VRAM, not which model scores best. The two VRAM consumers 1. Model weights : parameters × bytes per parameter. Precision Bytes per parameter 70B model FP16/BF16 2 ~140GB 8-bit 1 ~70GB 4-bit 0.5 ~35GB 2. KV…

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  1. 2026-11-06 06:28 · DEV Community — AI
    Llama vs Qwen vs DeepSeek: How Much VRAM Do You Need to Self-Host?

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