Your rig

Instinct MI210 · 64 GB

32 GB system RAM · CDNA 2 · 1638 GB/s · 62.4 GB usable VRAM
Edit hardware Export as JSON

Context length

KV cache at f16, 32K 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 Instinct MI210

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 Q6_K and 32K. 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. Q6_K · 23.8 GB 47 Runs great
Best for coding Qwen3.8 27B New this week
Alibaba · Apache 2.0
Terminal-Bench 73, DeepSWE 42 — a generation ahead of anything else that fits 24 GB. Q6_K · 23.8 GB 47 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q6_K · 30.3 GB 41 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q6_K · 30.3 GB 41 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. Q6_K · 23.8 GB 47 Runs great
Best for agents Qwen3.8 27B New this week
Alibaba · Apache 2.0
Computer use and tool calling are what 3.8 was trained for (OSWorld 84). Q6_K · 23.8 GB 47 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. Q6_K · 23.8 GB 47 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. Q6_K · 28.6 GB 151 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. Q6_K · 29.8 GB
at 128K context
47 Runs great

Everything that fits

Runs great

58 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.63 GB 28.6 GB
33.8 GB free
151 Ollama Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.63 GB 28.6 GB
33.8 GB free
151 Ollama Run
LLM-jp 4 33B Thinking New this week 33.2B Q6_K 25.4 GB 8.00 GB 34.0 GB
28.4 GB free
39 llama.cpp Run
Qwen3 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB
28.8 GB free
40 Ollama Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB
28.8 GB free
40 Ollama Run
Qwen2.5-Coder 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB
28.8 GB free
40 Ollama Run
Olmo 3.1 32B Instruct 32.2B Q6_K 24.6 GB 2.75 GB 27.9 GB
34.5 GB free
40 Ollama Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q6_K 24.1 GB 0.19 GB 24.9 GB
37.5 GB free
156 Ollama Run
Gemma 4 31B 31.3B Q6_K 23.9 GB 5.78 GB 30.3 GB
32.1 GB free
41 Ollama Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q6_K 23.8 GB 1.65 GB 26.1 GB
36.3 GB free
166 Ollama Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 3.00 GB 26.9 GB
35.5 GB free
151 Ollama Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 3.00 GB 26.9 GB
35.5 GB free
151 Ollama Run
Muse Glimmer 30B New 29.8B Q6_K 22.8 GB 0.48 GB 23.8 GB
38.6 GB free
44 Ollama Run
Granite 4.1 30B 28.9B Q6_K 22.1 GB 8.00 GB 30.7 GB
31.7 GB free
45 Ollama Run
Qwen3.8 27B New this week 27.8B Q6_K 21.2 GB 2.00 GB 23.8 GB
38.6 GB free
47 Ollama Run
Qwen3.6 27B 27.8B Q6_K 21.2 GB 2.00 GB 23.8 GB
38.6 GB free
47 Ollama Run
Gemma 3 27B 27.4B Q6_K 20.9 GB 2.91 GB 24.4 GB
38.0 GB free
47 Ollama Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q6_K 20.2 GB 1.45 GB 22.3 GB
40.1 GB free
131 Ollama Run
Devstral Small 2 24B 24B Q6_K 18.3 GB 5.00 GB 23.9 GB
38.5 GB free
54 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q6_K 18.0 GB 5.00 GB 23.6 GB
38.8 GB free
55 Ollama Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.75 GB 12.2 GB
50.2 GB free
204 Ollama Run
Qwen3 14B 14.8B Q6_K 11.3 GB 5.00 GB 16.9 GB
45.5 GB free
88 Ollama Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q6_K 11.3 GB 6.00 GB 17.9 GB
44.5 GB free
88 Ollama Run
Qwen2.5-Coder 14B 14.8B Q6_K 11.3 GB 6.00 GB 17.9 GB
44.5 GB free
88 Ollama Run
Phi-4 14B 14.7B Q6_K 11.2 GB 3.13 GB 15.0 GB
47.4 GB free
88 Ollama Run
Ministral 3 14B 13.9B Q6_K 10.6 GB 5.00 GB 16.2 GB
46.2 GB free
93 Ollama Run
Gemma 3 12B 12.2B Q6_K 9.3 GB 2.31 GB 12.2 GB
50.2 GB free
106 Ollama Run
Mistral NeMo 12B 12.2B Q6_K 9.3 GB 5.00 GB 14.9 GB
47.5 GB free
106 Ollama Run
Gemma 4 12B 12B Q6_K 9.2 GB 2.31 GB 12.1 GB
50.3 GB free
108 Ollama Run
Qwen3.5 9B 9.65B Q6_K 7.4 GB 1.00 GB 9.0 GB
53.4 GB free
135 Ollama Run
Ornith 1.5 9B New this week 9.41B Q6_K 7.2 GB 1.00 GB 8.8 GB
53.6 GB free
138 Ollama Run
Ministral 3 8B 8.92B Q6_K 6.8 GB 4.25 GB 11.7 GB
50.7 GB free
146 Ollama Run
Granite 4.1 8B 8.79B Q6_K 6.7 GB 5.00 GB 12.3 GB
50.1 GB free
148 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q6_K 6.5 GB 0.38 GB 7.4 GB
55.0 GB free
333 Ollama Run
Fara 7B 8.29B Q6_K 6.3 GB 1.75 GB 8.7 GB
53.7 GB free
157 llama.cpp Run
Qwen3 8B 8.19B Q6_K 6.3 GB 4.50 GB 11.4 GB
51.0 GB free
159 Ollama Run
Llama 3.1 8B Instruct 8.03B Q6_K 6.1 GB 4.00 GB 10.7 GB
51.7 GB free
162 Ollama Run
Gemma 4 E4B 8.0B Q6_K 6.1 GB 0.47 GB 7.2 GB
55.2 GB free
162 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q6_K 6.0 GB 0.21 GB 6.8 GB
55.6 GB free
384 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q6_K 5.8 GB 1.75 GB 8.2 GB
54.2 GB free
170 Ollama Run
Qwen2.5-Coder 7B 7.62B Q6_K 5.8 GB 1.75 GB 8.2 GB
54.2 GB free
170 Ollama Run
Olmo 3 7B Instruct 7.3B Q6_K 5.6 GB 5.50 GB 11.7 GB
50.7 GB free
178 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q6_K 5.5 GB 4.00 GB 10.1 GB
52.3 GB free
179 Ollama Run
Gemma 4 E2B 5.1B Q6_K 3.9 GB 0.23 GB 4.7 GB
57.7 GB free
255 Ollama Run
Qwen3.5 4B 4.66B Q6_K 3.6 GB 1.00 GB 5.2 GB
57.2 GB free
279 Ollama Run
Gemma 3 4B 4.3B Q6_K 3.3 GB 0.86 GB 4.7 GB
57.7 GB free
302 Ollama Run
Qwen3 4B 4.02B Q6_K 3.1 GB 4.50 GB 8.2 GB
54.2 GB free
323 Ollama Run
Ministral 3 3B 3.85B Q6_K 2.9 GB 3.25 GB 6.8 GB
55.6 GB free
337 Ollama Run
Phi-4-mini 3.8B 3.84B Q6_K 2.9 GB 4.00 GB 7.5 GB
54.9 GB free
338 Ollama Run
Granite 4.1 3B 3.4B Q6_K 2.6 GB 2.50 GB 5.7 GB
56.7 GB free
382 Ollama Run
Llama 3.2 3B Instruct 3.21B Q6_K 2.5 GB 3.50 GB 6.6 GB
55.8 GB free
404 Ollama Run
LFM2.5 2.6B New 2.7B Q6_K 2.1 GB 0.50 GB 3.2 GB
59.2 GB free
481 llama.cpp Run
Qwen3.5 2B 2.27B Q6_K 1.7 GB 0.38 GB 2.7 GB
59.7 GB free
572 Ollama Run
Qwen3 1.7B 1.72B Q6_K 1.3 GB 3.50 GB 5.4 GB
57.0 GB free
755 Ollama Run
Llama 3.2 1B Instruct 1.24B Q6_K 0.9 GB 1.00 GB 2.5 GB
59.9 GB free
1047 Ollama Run
Gemma 3 1B 1.0B Q6_K 0.8 GB 0.14 GB 1.5 GB
60.9 GB free
1298 Ollama Run
Qwen3.5 0.8B 0.87B Q6_K 0.7 GB 0.38 GB 1.6 GB
60.8 GB free
1492 Ollama Run
Qwen3 0.6B 0.6B Q6_K 0.5 GB 3.50 GB 4.6 GB
57.8 GB free
2164 Ollama Run

Runs — tight

1 model · fits at 32K, drop context or quant to go longer
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 1.13 GB 62.2 GB
0.2 GB free
144 llama.cpp Run

Won't fit in VRAM

17 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 32KTotal Over budget Tok/sRuntime
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q6_K 83.2 GB 2.63 GB 86.5 GB +24.1 GB ~3.4 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q6_K 53.9 GB 10.00 GB 64.5 GB +2.1 GB ~9.0 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q6_K 53.9 GB 10.00 GB 64.5 GB +2.1 GB ~9.0 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q6_K 2123.0 GB 0.84 GB 2124.5 GB +2062.1 GB ~0.2 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q6_K 1868.0 GB 2.88 GB 1871.4 GB +1809.0 GB ~0.2 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q6_K 1260.1 GB 2.14 GB 1262.8 GB +1200.4 GB ~0.4 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q6_K 784.3 GB 2.14 GB 787.0 GB +724.6 GB ~0.6 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q6_K 575.1 GB 2.74 GB 578.4 GB +516.0 GB ~0.5 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q6_K 512.4 GB 2.14 GB 515.2 GB +452.8 GB ~0.6 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q6_K 307.8 GB 0.94 GB 309.3 GB +246.9 GB ~1.3 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q6_K 303.2 GB 0.94 GB 304.7 GB +242.3 GB ~1.3 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q6_K 216.9 GB 1.51 GB 219.0 GB +156.6 GB ~1.9 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q6_K 179.5 GB 5.88 GB 185.9 GB +123.5 GB ~1.2 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q6_K 95.5 GB 0.75 GB 96.8 GB +34.4 GB ~4.8 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q6_K 94.7 GB 0.25 GB 95.5 GB +33.1 GB ~4.1 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q6_K 94.7 GB 0.25 GB 95.5 GB +33.1 GB ~9.6 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q6_K 90.9 GB 0.70 GB 92.2 GB +29.8 GB ~8.0 llama.cpp Why

Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 62.4 GB usable VRAM (64 GB less display and driver reserve). Tokens per second are estimated from 1638 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.