Your rig

H100 PCIe · 80 GB

64 GB system RAM · Hopper · 2000 GB/s · 78.4 GB usable VRAM
Edit hardware Export as JSON

Context length

KV cache at f16, 128K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
System RAM (GB)
Runtime
Ollamallama.cppLM StudiovLLM

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your H100 PCIe

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q2_K and 128K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Qwen3.8 27B New this week
Alibaba · Apache 2.0
Best capability per gigabyte: a current-generation dense 27B with vision and 262K context. Q2_K · 19.4 GB 112 Runs great
Best for coding Ling 3.0 Flash 124B-A5B New
inclusionAI · MIT
SWE-bench Pro 56.6 claimed at 5B active — the 128 GB-class coding pick if you cannot fit DeepSeek V4. Q2_K · 49.9 GB 234 Runs great
Best reasoning Ling 3.0 Flash 124B-A5B New
inclusionAI · MIT
AIME 93 claimed at 5B active; hybrid attention keeps long reasoning traces cheap. Q2_K · 49.9 GB 234 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q2_K · 33.6 GB 99 Runs great
Best vision Qwen3.8 27B New this week
Alibaba · Apache 2.0
Image and video in, OSWorld 84 — the strongest local vision-language model at 24 GB. Q2_K · 19.4 GB 112 Runs great
Best for agents Ling 3.0 Flash 124B-A5B New
inclusionAI · MIT
Agentic workflows are what Ling 3.0 was trained for; MIT, 5B active. Q2_K · 49.9 GB 234 Runs great
Best translation Qwen3.8 27B New this week
Alibaba · Apache 2.0
119 languages, and Qwen translations read as idiomatic rather than literal. Q2_K · 19.4 GB 112 Runs great
Fastest good model Qwen3.6 35B-A3B
Alibaba · Apache 2.0
3.3B active per token: the fastest model that still competes with dense 27Bs. Q2_K · 17.1 GB 362 Runs great
Best long context Qwen3.8 27B New this week
Alibaba · Apache 2.0
262K native, and only 16 of 64 blocks keep a KV cache — long context is cheap here. Q2_K · 19.4 GB
at 128K context
112 Runs great

Everything that fits

Runs great

64 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 128KTotal VRAM headroom Tok/sRuntime
Qwen3.5 122B-A10B 125B MoE / 10B act Q2_K 48.7 GB 3.00 GB 52.3 GB
26.1 GB free
119 Ollama Run
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q2_K 48.4 GB 1.00 GB 50.0 GB
28.4 GB free
100 llama.cpp Run
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q2_K 48.4 GB 0.98 GB 49.9 GB
28.5 GB free
234 llama.cpp Run
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q2_K 46.4 GB 2.81 GB 49.8 GB
28.6 GB free
184 llama.cpp Run
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 4.50 GB 65.6 GB
12.8 GB free
176 Ollama Run
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q2_K 42.5 GB 7.13 GB 50.2 GB
28.2 GB free
70 Ollama Run
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q2_K 14.0 GB 2.50 GB 17.1 GB
61.3 GB free
362 Ollama Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q2_K 14.0 GB 2.50 GB 17.1 GB
61.3 GB free
362 Ollama Run
LLM-jp 4 33B Thinking New this week 33.2B Q2_K 12.9 GB 16.00 GB 29.5 GB
48.9 GB free
94 llama.cpp Run
Qwen3 32B 32.8B Q2_K 12.8 GB 32.00 GB 45.4 GB
33.0 GB free
95 Ollama Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q2_K 12.8 GB 32.00 GB 45.4 GB
33.0 GB free
95 Ollama Run
Qwen2.5-Coder 32B 32.8B Q2_K 12.8 GB 32.00 GB 45.4 GB
33.0 GB free
95 Ollama Run
Olmo 3.1 32B Instruct 32.2B Q2_K 12.6 GB 4.75 GB 17.9 GB
60.5 GB free
96 Ollama Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q2_K 12.3 GB 0.75 GB 13.7 GB
64.7 GB free
373 Ollama Run
Gemma 4 31B 31.3B Q2_K 12.2 GB 20.78 GB 33.6 GB
44.8 GB free
99 Ollama Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q2_K 12.2 GB 6.61 GB 19.4 GB
59.0 GB free
398 Ollama Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q2_K 11.9 GB 12.00 GB 24.5 GB
53.9 GB free
362 Ollama Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q2_K 11.9 GB 12.00 GB 24.5 GB
53.9 GB free
362 Ollama Run
Muse Glimmer 30B New 29.8B Q2_K 11.6 GB 1.70 GB 13.9 GB
64.5 GB free
104 Ollama Run
Granite 4.1 30B 28.9B Q2_K 11.3 GB 32.00 GB 43.9 GB
34.5 GB free
107 Ollama Run
Qwen3.8 27B New this week 27.8B Q2_K 10.8 GB 8.00 GB 19.4 GB
59.0 GB free
112 Ollama Run
Qwen3.6 27B 27.8B Q2_K 10.8 GB 8.00 GB 19.4 GB
59.0 GB free
112 Ollama Run
Gemma 3 27B 27.4B Q2_K 10.7 GB 10.41 GB 21.7 GB
56.7 GB free
113 Ollama Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q2_K 10.3 GB 5.20 GB 16.1 GB
62.3 GB free
314 Ollama Run
Devstral Small 2 24B 24B Q2_K 9.4 GB 20.00 GB 30.0 GB
48.4 GB free
129 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q2_K 9.2 GB 20.00 GB 29.8 GB
48.6 GB free
132 Ollama Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 3.00 GB 14.4 GB
64.0 GB free
250 Ollama Run
Qwen3 14B 14.8B Q2_K 5.8 GB 20.00 GB 26.4 GB
52.0 GB free
210 Ollama Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q2_K 5.8 GB 24.00 GB 30.4 GB
48.0 GB free
210 Ollama Run
Qwen2.5-Coder 14B 14.8B Q2_K 5.8 GB 24.00 GB 30.4 GB
48.0 GB free
210 Ollama Run
Phi-4 14B 14.7B Q2_K 5.7 GB 3.13 GB 9.5 GB
68.9 GB free
211 Ollama Run
Ministral 3 14B 13.9B Q2_K 5.4 GB 20.00 GB 26.0 GB
52.4 GB free
223 Ollama Run
Gemma 3 12B 12.2B Q2_K 4.8 GB 8.31 GB 13.7 GB
64.7 GB free
254 Ollama Run
Mistral NeMo 12B 12.2B Q2_K 4.8 GB 20.00 GB 25.4 GB
53.0 GB free
254 Ollama Run
Gemma 4 12B 12B Q2_K 4.7 GB 8.31 GB 13.6 GB
64.8 GB free
259 Ollama Run
Qwen3.5 9B 9.65B Q2_K 3.8 GB 4.00 GB 8.4 GB
70.0 GB free
322 Ollama Run
Ornith 1.5 9B New this week 9.41B Q2_K 3.7 GB 4.00 GB 8.3 GB
70.1 GB free
330 Ollama Run
Ministral 3 8B 8.92B Q2_K 3.5 GB 17.00 GB 21.1 GB
57.3 GB free
348 Ollama Run
Granite 4.1 8B 8.79B Q2_K 3.4 GB 20.00 GB 24.0 GB
54.4 GB free
353 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q2_K 3.3 GB 1.46 GB 5.4 GB
73.0 GB free
796 Ollama Run
Fara 7B 8.29B Q2_K 3.2 GB 6.84 GB 10.7 GB
67.7 GB free
374 llama.cpp Run
Qwen3 8B 8.19B Q2_K 3.2 GB 18.00 GB 21.8 GB
56.6 GB free
379 Ollama Run
Llama 3.1 8B Instruct 8.03B Q2_K 3.1 GB 16.00 GB 19.7 GB
58.7 GB free
387 Ollama Run
Gemma 4 E4B 8.0B Q2_K 3.1 GB 1.78 GB 5.5 GB
72.9 GB free
388 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q2_K 3.1 GB 0.84 GB 4.5 GB
73.9 GB free
918 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q2_K 3.0 GB 7.00 GB 10.6 GB
67.8 GB free
407 Ollama Run
Qwen2.5-Coder 7B 7.62B Q2_K 3.0 GB 7.00 GB 10.6 GB
67.8 GB free
407 Ollama Run
Olmo 3 7B Instruct 7.3B Q2_K 2.8 GB 9.50 GB 12.9 GB
65.5 GB free
425 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q2_K 2.8 GB 4.00 GB 7.4 GB
71.0 GB free
428 Ollama Run
Gemma 4 E2B 5.1B Q2_K 2.0 GB 0.89 GB 3.5 GB
74.9 GB free
609 Ollama Run
Qwen3.5 4B 4.66B Q2_K 1.8 GB 4.00 GB 6.4 GB
72.0 GB free
666 Ollama Run
Gemma 3 4B 4.3B Q2_K 1.7 GB 3.11 GB 5.4 GB
73.0 GB free
722 Ollama Run
Qwen3 4B 4.02B Q2_K 1.6 GB 4.50 GB 6.7 GB
71.7 GB free
772 Ollama Run
Ministral 3 3B 3.85B Q2_K 1.5 GB 13.00 GB 15.1 GB
63.3 GB free
806 Ollama Run
Phi-4-mini 3.8B 3.84B Q2_K 1.5 GB 16.00 GB 18.1 GB
60.3 GB free
808 Ollama Run
Granite 4.1 3B 3.4B Q2_K 1.3 GB 10.00 GB 11.9 GB
66.5 GB free
913 Ollama Run
Llama 3.2 3B Instruct 3.21B Q2_K 1.3 GB 14.00 GB 15.9 GB
62.5 GB free
967 Ollama Run
LFM2.5 2.6B New 2.7B Q2_K 1.1 GB 2.00 GB 3.7 GB
74.7 GB free
1150 llama.cpp Run
Qwen3.5 2B 2.27B Q2_K 0.9 GB 1.50 GB 3.0 GB
75.4 GB free
1368 Ollama Run
Qwen3 1.7B 1.72B Q2_K 0.7 GB 3.50 GB 4.8 GB
73.6 GB free
1805 Ollama Run
Llama 3.2 1B Instruct 1.24B Q2_K 0.5 GB 4.00 GB 5.1 GB
73.3 GB free
2504 Ollama Run
Gemma 3 1B 1.0B Q2_K 0.4 GB 0.14 GB 1.1 GB
77.3 GB free
3104 Ollama Run
Qwen3.5 0.8B 0.87B Q2_K 0.3 GB 1.50 GB 2.4 GB
76.0 GB free
3568 Ollama Run
Qwen3 0.6B 0.6B Q2_K 0.2 GB 3.50 GB 4.3 GB
74.1 GB free
5174 Ollama Run

Runs — tight

2 models · fits at 128K, drop context or quant to go longer
ModelParamsQuantWeights +KV 128KTotal VRAM headroom Tok/sRuntime
Llama 3.3 70B Instruct 70.6B Q2_K 27.5 GB 40.00 GB 68.1 GB
10.3 GB free
44 llama.cpp Run
DeepSeek-R1-Distill-Llama 70B 70.6B Q2_K 27.5 GB 40.00 GB 68.1 GB
10.3 GB free
44 llama.cpp Run

Won't fit in VRAM

10 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 128KTotal Over budget Tok/sRuntime
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q2_K 110.8 GB 6.05 GB 117.4 GB +39.0 GB ~7.4 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q2_K 91.6 GB 23.50 GB 115.7 GB +37.3 GB ~3.8 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q2_K 1084.2 GB 3.38 GB 1088.2 GB +1009.8 GB ~0.4 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q2_K 953.9 GB 11.50 GB 966.0 GB +887.6 GB ~0.4 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q2_K 643.5 GB 8.58 GB 652.7 GB +574.3 GB ~0.8 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q2_K 400.5 GB 8.58 GB 409.7 GB +331.3 GB ~1.3 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q2_K 293.7 GB 10.97 GB 305.2 GB +226.8 GB ~1.1 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q2_K 261.7 GB 8.58 GB 270.9 GB +192.5 GB ~1.3 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q2_K 157.2 GB 3.75 GB 161.5 GB +83.1 GB ~3.9 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q2_K 154.8 GB 3.75 GB 159.2 GB +80.8 GB ~3.9 llama.cpp Why

Totals = quantised weights + f16 KV cache at 128K tokens + 0.6 GB runtime overhead, against 78.4 GB usable VRAM (80 GB less display and driver reserve). Tokens per second are estimated from 2000 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.