Your rig

CPU only · DDR5 dual-channel · 64 GB

DDR5-5600 · 90 GB/s · 51.2 GB usable of 64 GB system RAM
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Context length

KV cache at f16, 8K 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
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 CPU only · DDR5 dual-channel

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 8K. 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. Q3_K_M · 13.8 GB 3.0 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. Q3_K_M · 13.8 GB 3.0 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q3_K_M · 16.9 GB 2.6 Runs great
Best for writing Llama 3.3 70B Instruct
Meta · Llama 3.3 Community
The creative-writing favourite: consistent voice, takes direction, handles fiction framing. Q3_K_M · 35.2 GB 1.2 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. Q3_K_M · 13.8 GB 3.0 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). Q3_K_M · 13.8 GB 3.0 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. Q3_K_M · 13.8 GB 3.0 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. Q3_K_M · 17.1 GB 11 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. Q3_K_M · 21.3 GB
at 128K context
3.0 Runs great

Everything that fits

Runs great

60 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
Llama 3.3 70B Instruct 70.6B Q3_K_M 32.1 GB 2.50 GB 35.2 GB
16.0 GB free
1.2 llama.cpp Run
DeepSeek-R1-Distill-Llama 70B 70.6B Q3_K_M 32.1 GB 2.50 GB 35.2 GB
16.0 GB free
1.2 llama.cpp Run
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.16 GB 17.1 GB
34.1 GB free
11 llama.cpp Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.16 GB 17.1 GB
34.1 GB free
11 llama.cpp Run
LLM-jp 4 33B Thinking New this week 33.2B Q3_K_M 15.1 GB 2.00 GB 17.7 GB
33.5 GB free
2.5 llama.cpp Run
Qwen3 32B 32.8B Q3_K_M 14.9 GB 2.00 GB 17.5 GB
33.7 GB free
2.5 llama.cpp Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q3_K_M 14.9 GB 2.00 GB 17.5 GB
33.7 GB free
2.5 llama.cpp Run
Qwen2.5-Coder 32B 32.8B Q3_K_M 14.9 GB 2.00 GB 17.5 GB
33.7 GB free
2.5 llama.cpp Run
Olmo 3.1 32B Instruct 32.2B Q3_K_M 14.7 GB 1.25 GB 16.5 GB
34.7 GB free
2.6 llama.cpp Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q3_K_M 14.4 GB 0.05 GB 15.0 GB
36.2 GB free
12 llama.cpp Run
Gemma 4 31B 31.3B Q3_K_M 14.2 GB 2.03 GB 16.9 GB
34.3 GB free
2.6 llama.cpp Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q3_K_M 14.2 GB 0.41 GB 15.2 GB
36.0 GB free
12 llama.cpp Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 0.75 GB 15.2 GB
36.0 GB free
11 llama.cpp Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 0.75 GB 15.2 GB
36.0 GB free
11 llama.cpp Run
Muse Glimmer 30B New 29.8B Q3_K_M 13.6 GB 0.18 GB 14.3 GB
36.9 GB free
2.8 llama.cpp Run
Granite 4.1 30B 28.9B Q3_K_M 13.2 GB 2.00 GB 15.8 GB
35.4 GB free
2.9 llama.cpp Run
Qwen3.8 27B New this week 27.8B Q3_K_M 12.7 GB 0.50 GB 13.8 GB
37.4 GB free
3.0 llama.cpp Run
Qwen3.6 27B 27.8B Q3_K_M 12.7 GB 0.50 GB 13.8 GB
37.4 GB free
3.0 llama.cpp Run
Gemma 3 27B 27.4B Q3_K_M 12.5 GB 1.03 GB 14.1 GB
37.1 GB free
3.0 llama.cpp Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q3_K_M 12.1 GB 0.51 GB 13.2 GB
38.0 GB free
9.7 llama.cpp Run
Devstral Small 2 24B 24B Q3_K_M 10.9 GB 1.25 GB 12.8 GB
38.4 GB free
3.5 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q3_K_M 10.7 GB 1.25 GB 12.6 GB
38.6 GB free
3.5 llama.cpp Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.19 GB 11.6 GB
39.6 GB free
9.0 llama.cpp Run
Qwen3 14B 14.8B Q3_K_M 6.7 GB 1.25 GB 8.6 GB
42.6 GB free
5.6 llama.cpp Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q3_K_M 6.7 GB 1.50 GB 8.8 GB
42.4 GB free
5.6 llama.cpp Run
Qwen2.5-Coder 14B 14.8B Q3_K_M 6.7 GB 1.50 GB 8.8 GB
42.4 GB free
5.6 llama.cpp Run
Phi-4 14B 14.7B Q3_K_M 6.7 GB 1.56 GB 8.9 GB
42.3 GB free
5.6 llama.cpp Run
Ministral 3 14B 13.9B Q3_K_M 6.3 GB 1.25 GB 8.2 GB
43.0 GB free
6.0 llama.cpp Run
Gemma 3 12B 12.2B Q3_K_M 5.6 GB 0.81 GB 7.0 GB
44.2 GB free
6.8 llama.cpp Run
Mistral NeMo 12B 12.2B Q3_K_M 5.6 GB 1.25 GB 7.4 GB
43.8 GB free
6.8 llama.cpp Run
Gemma 4 12B 12B Q3_K_M 5.5 GB 0.81 GB 6.9 GB
44.3 GB free
6.9 llama.cpp Run
Qwen3.5 9B 9.65B Q3_K_M 4.4 GB 0.25 GB 5.2 GB
46.0 GB free
8.6 llama.cpp Run
Ornith 1.5 9B New this week 9.41B Q3_K_M 4.3 GB 0.25 GB 5.1 GB
46.1 GB free
8.8 llama.cpp Run
Ministral 3 8B 8.92B Q3_K_M 4.1 GB 1.06 GB 5.7 GB
45.5 GB free
9.3 llama.cpp Run
Granite 4.1 8B 8.79B Q3_K_M 4.0 GB 1.25 GB 5.9 GB
45.3 GB free
9.4 llama.cpp Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q3_K_M 3.9 GB 0.09 GB 4.5 GB
46.7 GB free
25 llama.cpp Run
Fara 7B 8.29B Q3_K_M 3.8 GB 0.44 GB 4.8 GB
46.4 GB free
10 llama.cpp Run
Qwen3 8B 8.19B Q3_K_M 3.7 GB 1.13 GB 5.5 GB
45.7 GB free
10 llama.cpp Run
Llama 3.1 8B Instruct 8.03B Q3_K_M 3.7 GB 1.00 GB 5.3 GB
45.9 GB free
10 llama.cpp Run
Gemma 4 E4B 8.0B Q3_K_M 3.6 GB 0.14 GB 4.4 GB
46.8 GB free
10 llama.cpp Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q3_K_M 3.6 GB 0.05 GB 4.2 GB
47.0 GB free
28 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q3_K_M 3.5 GB 0.44 GB 4.5 GB
46.7 GB free
11 llama.cpp Run
Qwen2.5-Coder 7B 7.62B Q3_K_M 3.5 GB 0.44 GB 4.5 GB
46.7 GB free
11 llama.cpp Run
Olmo 3 7B Instruct 7.3B Q3_K_M 3.3 GB 2.50 GB 6.4 GB
44.8 GB free
11 llama.cpp Run
Mistral 7B Instruct v0.3 7.25B Q3_K_M 3.3 GB 1.00 GB 4.9 GB
46.3 GB free
11 llama.cpp Run
Gemma 4 E2B 5.1B Q3_K_M 2.3 GB 0.07 GB 3.0 GB
48.2 GB free
16 llama.cpp Run
Qwen3.5 4B 4.66B Q3_K_M 2.1 GB 0.25 GB 3.0 GB
48.2 GB free
18 llama.cpp Run
Gemma 3 4B 4.3B Q3_K_M 2.0 GB 0.30 GB 2.9 GB
48.3 GB free
19 llama.cpp Run
Qwen3 4B 4.02B Q3_K_M 1.8 GB 1.13 GB 3.6 GB
47.6 GB free
21 llama.cpp Run
Ministral 3 3B 3.85B Q3_K_M 1.8 GB 0.81 GB 3.2 GB
48.0 GB free
22 llama.cpp Run
Phi-4-mini 3.8B 3.84B Q3_K_M 1.7 GB 1.00 GB 3.3 GB
47.9 GB free
22 llama.cpp Run
Granite 4.1 3B 3.4B Q3_K_M 1.5 GB 0.63 GB 2.8 GB
48.4 GB free
24 llama.cpp Run
Llama 3.2 3B Instruct 3.21B Q3_K_M 1.5 GB 0.88 GB 2.9 GB
48.3 GB free
26 llama.cpp Run
LFM2.5 2.6B New 2.7B Q3_K_M 1.2 GB 0.13 GB 2.0 GB
49.2 GB free
31 llama.cpp Run
Qwen3.5 2B 2.27B Q3_K_M 1.0 GB 0.09 GB 1.7 GB
49.5 GB free
37 llama.cpp Run
Qwen3 1.7B 1.72B Q3_K_M 0.8 GB 0.88 GB 2.3 GB
48.9 GB free
48 llama.cpp Run
Llama 3.2 1B Instruct 1.24B Q3_K_M 0.6 GB 0.25 GB 1.4 GB
49.8 GB free
67 llama.cpp Run
Gemma 3 1B 1.0B Q3_K_M 0.5 GB 0.04 GB 1.1 GB
50.1 GB free
83 llama.cpp Run
Qwen3.5 0.8B 0.87B Q3_K_M 0.4 GB 0.09 GB 1.1 GB
50.1 GB free
95 llama.cpp Run
Qwen3 0.6B 0.6B Q3_K_M 0.3 GB 0.88 GB 1.7 GB
49.5 GB free
138 llama.cpp Run

Won't fit in VRAM

16 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 8KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q3_K_M 1265.4 GB 0.21 GB 1266.2 GB +1215.0 GB ~0.4 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q3_K_M 1113.4 GB 0.72 GB 1114.7 GB +1063.5 GB ~0.4 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q3_K_M 751.1 GB 0.54 GB 752.2 GB +701.0 GB ~0.8 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q3_K_M 467.5 GB 0.54 GB 468.6 GB +417.4 GB ~1.2 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q3_K_M 342.8 GB 0.69 GB 344.0 GB +292.8 GB ~0.9 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q3_K_M 305.4 GB 0.54 GB 306.6 GB +255.4 GB ~1.0 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q3_K_M 183.4 GB 0.23 GB 184.3 GB +133.1 GB ~2.2 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q3_K_M 180.7 GB 0.23 GB 181.5 GB +130.3 GB ~2.2 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q3_K_M 129.3 GB 0.38 GB 130.3 GB +79.1 GB ~2.8 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q3_K_M 107.0 GB 1.47 GB 109.0 GB +57.8 GB ~1.7 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q3_K_M 56.9 GB 0.19 GB 57.7 GB +6.5 GB ~3.7 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q3_K_M 56.4 GB 0.06 GB 57.1 GB +5.9 GB ~3.1 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q3_K_M 56.4 GB 0.06 GB 57.1 GB +5.9 GB ~7.2 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q3_K_M 54.2 GB 0.18 GB 54.9 GB +3.7 GB ~5.7 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.29 GB 61.4 GB +10.2 GB ~6.3 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q3_K_M 49.6 GB 1.50 GB 51.7 GB +0.5 GB ~2.2 llama.cpp Why

Totals = quantised weights + f16 KV cache at 8K tokens + 0.6 GB runtime overhead, against 51.2 GB usable system RAM. Tokens per second are estimated from 90 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.