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Can NVIDIA H100 SXM5 80GB run unsloth/Llama-3.2-1B-Instruct?

Runs Q480GB VRAM availableRequires 1GB+

NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of unsloth/Llama-3.2-1B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA H100 SXM5 80GB can run unsloth/Llama-3.2-1B-Instruct with Q4 quantization. At approximately 637 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 79GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB80GB636.91 tok/s✅ Fits comfortably
Q81GB80GB403.63 tok/s✅ Fits comfortably
FP162GB80GB236.00 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
922.45 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
795.63 tok/s
Price: —
AMD Instinct MI250X
128GB
627.73 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
626.29 tok/s
Price: —
AMD Instinct MI300X
192GB
621.80 tok/s
Price: —

More questions

NVIDIA H100 SXM5 80GB specs & pricingFull guide for unsloth/Llama-3.2-1B-Instructunsloth/Llama-3.2-1B-Instruct speed on NVIDIA H100 SXM5 80GBunsloth/Llama-3.2-1B-Instruct Q4 requirements