Your rig

CPU only · DDR5 8-channel server · 256 GB

DDR5-4800 ×8 · 307 GB/s · 204.8 GB usable of 256 GB system RAM
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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
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 8-channel server

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 Q5_K_M 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. Q5_K_M · 21.0 GB 7.0 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. Q5_K_M · 82.7 GB 17 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. Q5_K_M · 82.7 GB 17 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. Q5_K_M · 57.2 GB 2.8 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. Q5_K_M · 21.0 GB 7.0 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. Q5_K_M · 82.7 GB 17 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. Q5_K_M · 21.0 GB 7.0 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. Q5_K_M · 24.9 GB 26 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. Q5_K_M · 27.0 GB
at 128K context
7.0 Runs great

Everything that fits

Runs great

67 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Qwen3 235B-A22B 235B MoE / 22B act Q5_K_M 155.1 GB 5.88 GB 161.6 GB
43.2 GB free
3.9 llama.cpp Run
Qwen3.5 122B-A10B 125B MoE / 10B act Q5_K_M 82.5 GB 0.75 GB 83.9 GB
120.9 GB free
8.7 llama.cpp Run
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q5_K_M 81.8 GB 0.25 GB 82.7 GB
122.1 GB free
7.2 llama.cpp Run
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q5_K_M 81.8 GB 0.25 GB 82.7 GB
122.1 GB free
17 llama.cpp Run
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q5_K_M 78.5 GB 0.70 GB 79.9 GB
124.9 GB free
13 llama.cpp Run
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 1.13 GB 62.2 GB
142.6 GB free
22 llama.cpp Run
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q5_K_M 71.9 GB 2.63 GB 75.2 GB
129.6 GB free
5.1 llama.cpp Run
Llama 3.3 70B Instruct 70.6B Q5_K_M 46.6 GB 10.00 GB 57.2 GB
147.6 GB free
2.8 llama.cpp Run
DeepSeek-R1-Distill-Llama 70B 70.6B Q5_K_M 46.6 GB 10.00 GB 57.2 GB
147.6 GB free
2.8 llama.cpp Run
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.63 GB 24.9 GB
179.9 GB free
26 llama.cpp Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.63 GB 24.9 GB
179.9 GB free
26 llama.cpp Run
LLM-jp 4 33B Thinking New this week 33.2B Q5_K_M 21.9 GB 8.00 GB 30.5 GB
174.3 GB free
5.9 llama.cpp Run
Qwen3 32B 32.8B Q5_K_M 21.7 GB 8.00 GB 30.3 GB
174.5 GB free
5.9 llama.cpp Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q5_K_M 21.7 GB 8.00 GB 30.3 GB
174.5 GB free
5.9 llama.cpp Run
Qwen2.5-Coder 32B 32.8B Q5_K_M 21.7 GB 8.00 GB 30.3 GB
174.5 GB free
5.9 llama.cpp Run
Olmo 3.1 32B Instruct 32.2B Q5_K_M 21.3 GB 2.75 GB 24.6 GB
180.2 GB free
6.1 llama.cpp Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q5_K_M 20.9 GB 0.19 GB 21.6 GB
183.2 GB free
27 llama.cpp Run
Gemma 4 31B 31.3B Q5_K_M 20.7 GB 5.78 GB 27.0 GB
177.8 GB free
6.2 llama.cpp Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q5_K_M 20.6 GB 1.65 GB 22.8 GB
182.0 GB free
29 llama.cpp Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 3.00 GB 23.7 GB
181.1 GB free
26 llama.cpp Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 3.00 GB 23.7 GB
181.1 GB free
26 llama.cpp Run
Muse Glimmer 30B New 29.8B Q5_K_M 19.7 GB 0.48 GB 20.8 GB
184.0 GB free
6.5 llama.cpp Run
Granite 4.1 30B 28.9B Q5_K_M 19.1 GB 8.00 GB 27.7 GB
177.1 GB free
6.7 llama.cpp Run
Qwen3.8 27B New this week 27.8B Q5_K_M 18.4 GB 2.00 GB 21.0 GB
183.8 GB free
7.0 llama.cpp Run
Qwen3.6 27B 27.8B Q5_K_M 18.4 GB 2.00 GB 21.0 GB
183.8 GB free
7.0 llama.cpp Run
Gemma 3 27B 27.4B Q5_K_M 18.1 GB 2.91 GB 21.6 GB
183.2 GB free
7.1 llama.cpp Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q5_K_M 17.5 GB 1.45 GB 19.5 GB
185.3 GB free
23 llama.cpp Run
Devstral Small 2 24B 24B Q5_K_M 15.8 GB 5.00 GB 21.4 GB
183.4 GB free
8.1 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q5_K_M 15.6 GB 5.00 GB 21.2 GB
183.6 GB free
8.3 llama.cpp Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.75 GB 12.2 GB
192.6 GB free
31 llama.cpp Run
Qwen3 14B 14.8B Q5_K_M 9.8 GB 5.00 GB 15.4 GB
189.4 GB free
13 llama.cpp Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q5_K_M 9.8 GB 6.00 GB 16.4 GB
188.4 GB free
13 llama.cpp Run
Qwen2.5-Coder 14B 14.8B Q5_K_M 9.8 GB 6.00 GB 16.4 GB
188.4 GB free
13 llama.cpp Run
Phi-4 14B 14.7B Q5_K_M 9.7 GB 3.13 GB 13.4 GB
191.4 GB free
13 llama.cpp Run
Ministral 3 14B 13.9B Q5_K_M 9.2 GB 5.00 GB 14.8 GB
190.0 GB free
14 llama.cpp Run
Gemma 3 12B 12.2B Q5_K_M 8.1 GB 2.31 GB 11.0 GB
193.8 GB free
16 llama.cpp Run
Mistral NeMo 12B 12.2B Q5_K_M 8.1 GB 5.00 GB 13.7 GB
191.1 GB free
16 llama.cpp Run
Gemma 4 12B 12B Q5_K_M 7.9 GB 2.31 GB 10.8 GB
194.0 GB free
16 llama.cpp Run
Qwen3.5 9B 9.65B Q5_K_M 6.4 GB 1.00 GB 8.0 GB
196.8 GB free
20 llama.cpp Run
Ornith 1.5 9B New this week 9.41B Q5_K_M 6.2 GB 1.00 GB 7.8 GB
197.0 GB free
21 llama.cpp Run
Ministral 3 8B 8.92B Q5_K_M 5.9 GB 4.25 GB 10.7 GB
194.1 GB free
22 llama.cpp Run
Granite 4.1 8B 8.79B Q5_K_M 5.8 GB 5.00 GB 11.4 GB
193.4 GB free
22 llama.cpp Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q5_K_M 5.6 GB 0.38 GB 6.6 GB
198.2 GB free
58 llama.cpp Run
Fara 7B 8.29B Q5_K_M 5.5 GB 1.75 GB 7.8 GB
197.0 GB free
24 llama.cpp Run
Qwen3 8B 8.19B Q5_K_M 5.4 GB 4.50 GB 10.5 GB
194.3 GB free
24 llama.cpp Run
Llama 3.1 8B Instruct 8.03B Q5_K_M 5.3 GB 4.00 GB 9.9 GB
194.9 GB free
24 llama.cpp Run
Gemma 4 E4B 8.0B Q5_K_M 5.3 GB 0.47 GB 6.4 GB
198.4 GB free
24 llama.cpp Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q5_K_M 5.2 GB 0.21 GB 6.0 GB
198.8 GB free
67 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q5_K_M 5.0 GB 1.75 GB 7.4 GB
197.4 GB free
26 llama.cpp Run
Qwen2.5-Coder 7B 7.62B Q5_K_M 5.0 GB 1.75 GB 7.4 GB
197.4 GB free
26 llama.cpp Run
Olmo 3 7B Instruct 7.3B Q5_K_M 4.8 GB 5.50 GB 10.9 GB
193.9 GB free
27 llama.cpp Run
Mistral 7B Instruct v0.3 7.25B Q5_K_M 4.8 GB 4.00 GB 9.4 GB
195.4 GB free
27 llama.cpp Run
Gemma 4 E2B 5.1B Q5_K_M 3.4 GB 0.23 GB 4.2 GB
200.6 GB free
38 llama.cpp Run
Qwen3.5 4B 4.66B Q5_K_M 3.1 GB 1.00 GB 4.7 GB
200.1 GB free
42 llama.cpp Run
Gemma 3 4B 4.3B Q5_K_M 2.8 GB 0.86 GB 4.3 GB
200.5 GB free
45 llama.cpp Run
Qwen3 4B 4.02B Q5_K_M 2.7 GB 4.50 GB 7.8 GB
197.0 GB free
48 llama.cpp Run
Ministral 3 3B 3.85B Q5_K_M 2.5 GB 3.25 GB 6.4 GB
198.4 GB free
51 llama.cpp Run
Phi-4-mini 3.8B 3.84B Q5_K_M 2.5 GB 4.00 GB 7.1 GB
197.7 GB free
51 llama.cpp Run
Granite 4.1 3B 3.4B Q5_K_M 2.2 GB 2.50 GB 5.3 GB
199.5 GB free
57 llama.cpp Run
Llama 3.2 3B Instruct 3.21B Q5_K_M 2.1 GB 3.50 GB 6.2 GB
198.6 GB free
61 llama.cpp Run
LFM2.5 2.6B New 2.7B Q5_K_M 1.8 GB 0.50 GB 2.9 GB
201.9 GB free
72 llama.cpp Run
Qwen3.5 2B 2.27B Q5_K_M 1.5 GB 0.38 GB 2.5 GB
202.3 GB free
86 llama.cpp Run
Qwen3 1.7B 1.72B Q5_K_M 1.1 GB 3.50 GB 5.2 GB
199.6 GB free
113 llama.cpp Run
Llama 3.2 1B Instruct 1.24B Q5_K_M 0.8 GB 1.00 GB 2.4 GB
202.4 GB free
157 llama.cpp Run
Gemma 3 1B 1.0B Q5_K_M 0.7 GB 0.14 GB 1.4 GB
203.4 GB free
195 llama.cpp Run
Qwen3.5 0.8B 0.87B Q5_K_M 0.6 GB 0.38 GB 1.5 GB
203.3 GB free
224 llama.cpp Run
Qwen3 0.6B 0.6B Q5_K_M 0.4 GB 3.50 GB 4.5 GB
200.3 GB free
325 llama.cpp Run

Runs — tight

1 model · fits at 32K, drop context or quant to go longer
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q5_K_M 187.5 GB 1.51 GB 189.6 GB
15.2 GB free
6.7 llama.cpp Run

Won't fit in VRAM

8 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 32KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q5_K_M 1835.0 GB 0.84 GB 1836.5 GB +1631.7 GB ~0.8 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q5_K_M 1614.5 GB 2.88 GB 1618.0 GB +1413.2 GB ~0.9 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q5_K_M 1089.1 GB 2.14 GB 1091.9 GB +887.1 GB ~1.8 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q5_K_M 677.9 GB 2.14 GB 680.6 GB +475.8 GB ~2.7 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q5_K_M 497.0 GB 2.74 GB 500.4 GB +295.6 GB ~2.2 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q5_K_M 442.9 GB 2.14 GB 445.7 GB +240.9 GB ~2.3 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q5_K_M 266.0 GB 0.94 GB 267.5 GB +62.7 GB ~5.1 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q5_K_M 262.0 GB 0.94 GB 263.6 GB +58.8 GB ~5.1 llama.cpp Why

Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 204.8 GB usable system RAM. Tokens per second are estimated from 307 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.