NVIDIA · Hopper

What runs on a H200 141GB

141 GB at 4800 GB/s. The largest model that fits at Q4_K_M is gpt-oss 120B-A5.1B, at roughly 381 tokens per second.

Runs comfortably

6.4 GB of 131.7 GB · 5%
0132 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 125.3 GB spare on a H200 141GB. There is room to raise the context length or move up a quantisation level.

Generation584tok/s
Prompt processing25864tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a H200 141GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Runs comfortably 128K 209
INT8 / W8A8 8.50 7.7 GB 9.5 GB Runs comfortably 128K 380
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Runs comfortably 128K 380
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 128K 390
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 128K 462
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 513
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 513
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 128K 513
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 128K 522
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 128K 533
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 128K 584
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 128K 607
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 128K 610
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 128K 638
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 128K 673
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 128K 697
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 128K 781
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 128K 850
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 128K 963
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 128K 1038

Models on a H200 141GB

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 3.07
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 45.7
gpt-oss 120B-A5.1B 116.8B 66.0 GB Runs comfortably 128K 381
Llama 4 Scout 109B-A17B 109B 61.7 GB Runs comfortably 369K 244
Qwen2.5 72B 72.7B 41.2 GB Runs comfortably 128K 76.2
Llama 3.1 70B 70.5B 40.0 GB Runs comfortably 128K 78.4
Mixtral 8x7B 46.7B 26.4 GB Runs comfortably 32K 296
Command R 35B 35.0B 20.1 GB Runs comfortably 89K 130
Yi-1.5 34B 34.4B 19.5 GB Runs comfortably 32K 155
Qwen3 32B 32.8B 18.6 GB Runs comfortably 128K 161
Qwen2.5-Coder 32B 32.8B 18.6 GB Runs comfortably 128K 161
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Runs comfortably 128K 161
Qwen3 30B-A3B 30.5B 17.3 GB Runs comfortably 128K 206
Gemma 3 27B 27.4B 15.6 GB Runs comfortably 128K 191
Mistral Small 24B 23.6B 13.4 GB Runs comfortably 32K 227
gpt-oss 20B-A3.6B 20.9B 11.9 GB Runs comfortably 128K 558
Qwen3 14B 14.8B 8.5 GB Runs comfortably 128K 340
Phi-4 14B 14.7B 8.4 GB Runs comfortably 16K 337
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 128K 398
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 128K 396
GLM-4 9B 9.4B 5.4 GB Runs comfortably 128K 528
Qwen3 8B 8.2B 4.7 GB Runs comfortably 128K 560
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 128K 584
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 128K 584
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 128K 650
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 639
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 998
Qwen3 4B 4.0B 2.3 GB Runs comfortably 128K 937
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 128K 1182
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 2879

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