Your rig

Arc B580 · 12 GB

32 GB system RAM · Battlemage · 456 GB/s · 10.6 GB usable VRAM
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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 Studio

3 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 Arc B580

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 Q3_K_M and 32K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q3_K_M · 8.4 GB 51 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q3_K_M · 6.0 GB 63 Runs great
Best reasoning Qwen3.5 9B
Alibaba · Apache 2.0
Thinking mode on a 12 GB card — ahead of the 2025 R1 distills. Q3_K_M · 6.0 GB 63 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q3_K_M · 8.4 GB 51 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q3_K_M · 8.4 GB 51 Runs great
Best for agents Fara 7B
Microsoft · MIT
Web computer-use only — clicks and fills forms from screenshots, and stops to ask before anything irreversible. Q3_K_M · 6.1 GB 73 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q3_K_M · 8.4 GB 51 Runs great
Fastest good model LFM2.5 8B-A1B
Liquid AI · LFM Open License v1.0
1.5B active; designed for laptops without a GPU. Q3_K_M · 4.8 GB 155 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q3_K_M · 9.0 GB
at 128K context
63 Runs great

Everything that fits

Runs great

29 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Gemma 3 12B 12.2B Q3_K_M 5.6 GB 2.31 GB 8.5 GB
2.1 GB free
50 Ollama Run
Gemma 4 12B 12B Q3_K_M 5.5 GB 2.31 GB 8.4 GB
2.2 GB free
51 Ollama Run
Qwen3.5 9B 9.65B Q3_K_M 4.4 GB 1.00 GB 6.0 GB
4.6 GB free
63 Ollama Run
Ornith 1.5 9B New this week 9.41B Q3_K_M 4.3 GB 1.00 GB 5.9 GB
4.7 GB free
64 Ollama Run
Ministral 3 8B 8.92B Q3_K_M 4.1 GB 4.25 GB 8.9 GB
1.7 GB free
68 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q3_K_M 3.9 GB 0.38 GB 4.8 GB
5.8 GB free
155 Ollama Run
Fara 7B 8.29B Q3_K_M 3.8 GB 1.75 GB 6.1 GB
4.5 GB free
73 llama.cpp Run
Qwen3 8B 8.19B Q3_K_M 3.7 GB 4.50 GB 8.8 GB
1.8 GB free
74 Ollama Run
Llama 3.1 8B Instruct 8.03B Q3_K_M 3.7 GB 4.00 GB 8.3 GB
2.3 GB free
76 Ollama Run
Gemma 4 E4B 8.0B Q3_K_M 3.6 GB 0.47 GB 4.7 GB
5.9 GB free
76 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q3_K_M 3.6 GB 0.21 GB 4.4 GB
6.2 GB free
179 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q3_K_M 3.5 GB 1.75 GB 5.8 GB
4.8 GB free
80 Ollama Run
Qwen2.5-Coder 7B 7.62B Q3_K_M 3.5 GB 1.75 GB 5.8 GB
4.8 GB free
80 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q3_K_M 3.3 GB 4.00 GB 7.9 GB
2.7 GB free
84 Ollama Run
Gemma 4 E2B 5.1B Q3_K_M 2.3 GB 0.23 GB 3.2 GB
7.4 GB free
119 Ollama Run
Qwen3.5 4B 4.66B Q3_K_M 2.1 GB 1.00 GB 3.7 GB
6.9 GB free
130 Ollama Run
Gemma 3 4B 4.3B Q3_K_M 2.0 GB 0.86 GB 3.4 GB
7.2 GB free
141 Ollama Run
Qwen3 4B 4.02B Q3_K_M 1.8 GB 4.50 GB 6.9 GB
3.7 GB free
151 Ollama Run
Ministral 3 3B 3.85B Q3_K_M 1.8 GB 3.25 GB 5.6 GB
5.0 GB free
158 Ollama Run
Phi-4-mini 3.8B 3.84B Q3_K_M 1.7 GB 4.00 GB 6.3 GB
4.3 GB free
158 Ollama Run
Granite 4.1 3B 3.4B Q3_K_M 1.5 GB 2.50 GB 4.6 GB
6.0 GB free
178 Ollama Run
Llama 3.2 3B Instruct 3.21B Q3_K_M 1.5 GB 3.50 GB 5.6 GB
5.0 GB free
189 Ollama Run
LFM2.5 2.6B New 2.7B Q3_K_M 1.2 GB 0.50 GB 2.3 GB
8.3 GB free
225 llama.cpp Run
Qwen3.5 2B 2.27B Q3_K_M 1.0 GB 0.38 GB 2.0 GB
8.6 GB free
267 Ollama Run
Qwen3 1.7B 1.72B Q3_K_M 0.8 GB 3.50 GB 4.9 GB
5.7 GB free
353 Ollama Run
Llama 3.2 1B Instruct 1.24B Q3_K_M 0.6 GB 1.00 GB 2.2 GB
8.4 GB free
489 Ollama Run
Gemma 3 1B 1.0B Q3_K_M 0.5 GB 0.14 GB 1.2 GB
9.4 GB free
606 Ollama Run
Qwen3.5 0.8B 0.87B Q3_K_M 0.4 GB 0.38 GB 1.4 GB
9.2 GB free
697 Ollama Run
Qwen3 0.6B 0.6B Q3_K_M 0.3 GB 3.50 GB 4.4 GB
6.2 GB free
1011 Ollama Run

Runs — tight

3 models · fits at 32K, drop context or quant to go longer
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Phi-4 14B 14.7B Q3_K_M 6.7 GB 3.13 GB 10.4 GB
0.2 GB free
41 llama.cpp Run
Granite 4.1 8B 8.79B Q3_K_M 4.0 GB 5.00 GB 9.6 GB
1.0 GB free
69 llama.cpp Run
Olmo 3 7B Instruct 7.3B Q3_K_M 3.3 GB 5.50 GB 9.4 GB
1.2 GB free
83 llama.cpp Run

Won't fit in VRAM

44 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 32KTotal Over budget Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.63 GB 17.6 GB +7.0 GB ~19 llama.cpp Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.63 GB 17.6 GB +7.0 GB ~19 llama.cpp Why
LLM-jp 4 33B Thinking New this week 33.2B Q3_K_M 15.1 GB 8.00 GB 23.7 GB +13.1 GB ~2.7 llama.cpp Why
Qwen3 32B 32.8B Q3_K_M 14.9 GB 8.00 GB 23.5 GB +12.9 GB ~2.8 llama.cpp Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q3_K_M 14.9 GB 8.00 GB 23.5 GB +12.9 GB ~2.8 llama.cpp Why
Qwen2.5-Coder 32B 32.8B Q3_K_M 14.9 GB 8.00 GB 23.5 GB +12.9 GB ~2.8 llama.cpp Why
Olmo 3.1 32B Instruct 32.2B Q3_K_M 14.7 GB 2.75 GB 18.0 GB +7.4 GB ~4.3 llama.cpp Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q3_K_M 14.4 GB 0.19 GB 15.2 GB +4.6 GB ~24 llama.cpp Why
Gemma 4 31B 31.3B Q3_K_M 14.2 GB 5.78 GB 20.6 GB +10.0 GB ~3.4 llama.cpp Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q3_K_M 14.2 GB 1.65 GB 16.5 GB +5.9 GB ~21 llama.cpp Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 3.00 GB 17.5 GB +6.9 GB ~17 llama.cpp Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 3.00 GB 17.5 GB +6.9 GB ~17 llama.cpp Why
Muse Glimmer 30B New 29.8B Q3_K_M 13.6 GB 0.48 GB 14.6 GB +4.0 GB ~6.9 llama.cpp Why
Granite 4.1 30B 28.9B Q3_K_M 13.2 GB 8.00 GB 21.8 GB +11.2 GB ~3.2 llama.cpp Why
Qwen3.8 27B New this week 27.8B Q3_K_M 12.7 GB 2.00 GB 15.3 GB +4.7 GB ~6.4 llama.cpp Why
Qwen3.6 27B 27.8B Q3_K_M 12.7 GB 2.00 GB 15.3 GB +4.7 GB ~6.4 llama.cpp Why
Gemma 3 27B 27.4B Q3_K_M 12.5 GB 2.91 GB 16.0 GB +5.4 GB ~5.8 llama.cpp Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q3_K_M 12.1 GB 1.45 GB 14.1 GB +3.5 GB ~21 llama.cpp Why
Devstral Small 2 24B 24B Q3_K_M 10.9 GB 5.00 GB 16.5 GB +5.9 GB ~5.5 llama.cpp Why
Mistral Small 3.2 24B 23.6B Q3_K_M 10.7 GB 5.00 GB 16.3 GB +5.7 GB ~5.7 llama.cpp Why
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.75 GB 12.2 GB +1.6 GB ~29 llama.cpp Why
Qwen3 14B 14.8B Q3_K_M 6.7 GB 5.00 GB 12.3 GB +1.7 GB ~15 llama.cpp Why
DeepSeek-R1-Distill-Qwen 14B 14.8B Q3_K_M 6.7 GB 6.00 GB 13.3 GB +2.7 GB ~11 llama.cpp Why
Qwen2.5-Coder 14B 14.8B Q3_K_M 6.7 GB 6.00 GB 13.3 GB +2.7 GB ~11 llama.cpp Why
Ministral 3 14B 13.9B Q3_K_M 6.3 GB 5.00 GB 11.9 GB +1.3 GB ~18 llama.cpp Why
Mistral NeMo 12B 12.2B Q3_K_M 5.6 GB 5.00 GB 11.2 GB +0.6 GB ~30 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q3_K_M 1265.4 GB 0.84 GB 1266.9 GB +1256.3 GB ~0.3 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q3_K_M 1113.4 GB 2.88 GB 1116.9 GB +1106.3 GB ~0.3 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q3_K_M 751.1 GB 2.14 GB 753.8 GB +743.2 GB ~0.6 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q3_K_M 467.5 GB 2.14 GB 470.2 GB +459.6 GB ~1.0 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q3_K_M 342.8 GB 2.74 GB 346.1 GB +335.5 GB ~0.8 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q3_K_M 305.4 GB 2.14 GB 308.2 GB +297.6 GB ~0.8 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q3_K_M 183.4 GB 0.94 GB 185.0 GB +174.4 GB ~1.9 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q3_K_M 180.7 GB 0.94 GB 182.2 GB +171.6 GB ~1.9 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q3_K_M 129.3 GB 1.51 GB 131.4 GB +120.8 GB ~2.5 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q3_K_M 107.0 GB 5.88 GB 113.4 GB +102.8 GB ~1.4 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q3_K_M 56.9 GB 0.75 GB 58.2 GB +47.6 GB ~3.6 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q3_K_M 56.4 GB 0.25 GB 57.3 GB +46.7 GB ~3.0 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q3_K_M 56.4 GB 0.25 GB 57.3 GB +46.7 GB ~7.1 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q3_K_M 54.2 GB 0.70 GB 55.5 GB +44.9 GB ~5.5 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 1.13 GB 62.2 GB +51.6 GB ~6.1 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q3_K_M 49.6 GB 2.63 GB 52.8 GB +42.2 GB ~2.1 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q3_K_M 32.1 GB 10.00 GB 42.7 GB +32.1 GB ~1.1 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q3_K_M 32.1 GB 10.00 GB 42.7 GB +32.1 GB ~1.1 llama.cpp Why

Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 10.6 GB usable VRAM (12 GB less display and driver reserve). Tokens per second are estimated from 456 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.