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, 4K 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 Q6_K and 4K. 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 · 22.1 GB 6.1 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. Q6_K · 95.3 GB 15 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. Q6_K · 95.3 GB 15 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. Q6_K · 55.8 GB 2.4 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 · 22.1 GB 6.1 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. Q6_K · 95.3 GB 15 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 · 22.1 GB 6.1 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 · 28.1 GB 23 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
6.1 Runs great

Everything that fits

Runs great

66 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 4KTotal VRAM headroom Tok/sRuntime
Qwen3.5 122B-A10B 125B MoE / 10B act Q6_K 95.5 GB 0.09 GB 96.2 GB
108.6 GB free
7.5 llama.cpp Run
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q6_K 94.7 GB 0.03 GB 95.3 GB
109.5 GB free
6.2 llama.cpp Run
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q6_K 94.7 GB 0.03 GB 95.3 GB
109.5 GB free
15 llama.cpp Run
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q6_K 90.9 GB 0.09 GB 91.6 GB
113.2 GB free
12 llama.cpp Run
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.15 GB 61.3 GB
143.5 GB free
22 llama.cpp Run
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q6_K 83.2 GB 0.75 GB 84.6 GB
120.2 GB free
4.4 llama.cpp Run
Llama 3.3 70B Instruct 70.6B Q6_K 53.9 GB 1.25 GB 55.8 GB
149.0 GB free
2.4 llama.cpp Run
DeepSeek-R1-Distill-Llama 70B 70.6B Q6_K 53.9 GB 1.25 GB 55.8 GB
149.0 GB free
2.4 llama.cpp Run
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.08 GB 28.1 GB
176.7 GB free
23 llama.cpp Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.08 GB 28.1 GB
176.7 GB free
23 llama.cpp Run
LLM-jp 4 33B Thinking New this week 33.2B Q6_K 25.4 GB 1.00 GB 27.0 GB
177.8 GB free
5.1 llama.cpp Run
Qwen3 32B 32.8B Q6_K 25.0 GB 1.00 GB 26.6 GB
178.2 GB free
5.1 llama.cpp Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q6_K 25.0 GB 1.00 GB 26.6 GB
178.2 GB free
5.1 llama.cpp Run
Qwen2.5-Coder 32B 32.8B Q6_K 25.0 GB 1.00 GB 26.6 GB
178.2 GB free
5.1 llama.cpp Run
Olmo 3.1 32B Instruct 32.2B Q6_K 24.6 GB 1.00 GB 26.2 GB
178.6 GB free
5.2 llama.cpp Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q6_K 24.1 GB 0.02 GB 24.8 GB
180.0 GB free
23 llama.cpp Run
Gemma 4 31B 31.3B Q6_K 23.9 GB 1.41 GB 25.9 GB
178.9 GB free
5.4 llama.cpp Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q6_K 23.8 GB 0.21 GB 24.6 GB
180.2 GB free
25 llama.cpp Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 0.38 GB 24.3 GB
180.5 GB free
23 llama.cpp Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 0.38 GB 24.3 GB
180.5 GB free
23 llama.cpp Run
Muse Glimmer 30B New 29.8B Q6_K 22.8 GB 0.13 GB 23.5 GB
181.3 GB free
5.7 llama.cpp Run
Granite 4.1 30B 28.9B Q6_K 22.1 GB 1.00 GB 23.7 GB
181.1 GB free
5.8 llama.cpp Run
Qwen3.8 27B New this week 27.8B Q6_K 21.2 GB 0.25 GB 22.1 GB
182.7 GB free
6.1 llama.cpp Run
Qwen3.6 27B 27.8B Q6_K 21.2 GB 0.25 GB 22.1 GB
182.7 GB free
6.1 llama.cpp Run
Gemma 3 27B 27.4B Q6_K 20.9 GB 0.72 GB 22.2 GB
182.6 GB free
6.1 llama.cpp Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q6_K 20.2 GB 0.35 GB 21.2 GB
183.6 GB free
20 llama.cpp Run
Devstral Small 2 24B 24B Q6_K 18.3 GB 0.63 GB 19.6 GB
185.2 GB free
7.0 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q6_K 18.0 GB 0.63 GB 19.2 GB
185.6 GB free
7.1 llama.cpp Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.10 GB 11.5 GB
193.3 GB free
31 llama.cpp Run
Qwen3 14B 14.8B Q6_K 11.3 GB 0.63 GB 12.5 GB
192.3 GB free
11 llama.cpp Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q6_K 11.3 GB 0.75 GB 12.7 GB
192.1 GB free
11 llama.cpp Run
Qwen2.5-Coder 14B 14.8B Q6_K 11.3 GB 0.75 GB 12.7 GB
192.1 GB free
11 llama.cpp Run
Phi-4 14B 14.7B Q6_K 11.2 GB 0.78 GB 12.6 GB
192.2 GB free
11 llama.cpp Run
Ministral 3 14B 13.9B Q6_K 10.6 GB 0.63 GB 11.8 GB
193.0 GB free
12 llama.cpp Run
Gemma 3 12B 12.2B Q6_K 9.3 GB 0.56 GB 10.5 GB
194.3 GB free
14 llama.cpp Run
Mistral NeMo 12B 12.2B Q6_K 9.3 GB 0.63 GB 10.5 GB
194.3 GB free
14 llama.cpp Run
Gemma 4 12B 12B Q6_K 9.2 GB 0.56 GB 10.3 GB
194.5 GB free
14 llama.cpp Run
Qwen3.5 9B 9.65B Q6_K 7.4 GB 0.13 GB 8.1 GB
196.7 GB free
17 llama.cpp Run
Ornith 1.5 9B New this week 9.41B Q6_K 7.2 GB 0.13 GB 7.9 GB
196.9 GB free
18 llama.cpp Run
Ministral 3 8B 8.92B Q6_K 6.8 GB 0.53 GB 7.9 GB
196.9 GB free
19 llama.cpp Run
Granite 4.1 8B 8.79B Q6_K 6.7 GB 0.63 GB 7.9 GB
196.9 GB free
19 llama.cpp Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q6_K 6.5 GB 0.05 GB 7.1 GB
197.7 GB free
50 llama.cpp Run
Fara 7B 8.29B Q6_K 6.3 GB 0.22 GB 7.1 GB
197.7 GB free
20 llama.cpp Run
Qwen3 8B 8.19B Q6_K 6.3 GB 0.56 GB 7.4 GB
197.4 GB free
21 llama.cpp Run
Llama 3.1 8B Instruct 8.03B Q6_K 6.1 GB 0.50 GB 7.2 GB
197.6 GB free
21 llama.cpp Run
Gemma 4 E4B 8.0B Q6_K 6.1 GB 0.09 GB 6.8 GB
198.0 GB free
21 llama.cpp Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q6_K 6.0 GB 0.03 GB 6.7 GB
198.1 GB free
58 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q6_K 5.8 GB 0.22 GB 6.6 GB
198.2 GB free
22 llama.cpp Run
Qwen2.5-Coder 7B 7.62B Q6_K 5.8 GB 0.22 GB 6.6 GB
198.2 GB free
22 llama.cpp Run
Olmo 3 7B Instruct 7.3B Q6_K 5.6 GB 2.00 GB 8.2 GB
196.6 GB free
23 llama.cpp Run
Mistral 7B Instruct v0.3 7.25B Q6_K 5.5 GB 0.50 GB 6.6 GB
198.2 GB free
23 llama.cpp Run
Gemma 4 E2B 5.1B Q6_K 3.9 GB 0.04 GB 4.5 GB
200.3 GB free
33 llama.cpp Run
Qwen3.5 4B 4.66B Q6_K 3.6 GB 0.13 GB 4.3 GB
200.5 GB free
36 llama.cpp Run
Gemma 3 4B 4.3B Q6_K 3.3 GB 0.20 GB 4.1 GB
200.7 GB free
39 llama.cpp Run
Qwen3 4B 4.02B Q6_K 3.1 GB 0.56 GB 4.2 GB
200.6 GB free
42 llama.cpp Run
Ministral 3 3B 3.85B Q6_K 2.9 GB 0.41 GB 3.9 GB
200.9 GB free
44 llama.cpp Run
Phi-4-mini 3.8B 3.84B Q6_K 2.9 GB 0.50 GB 4.0 GB
200.8 GB free
44 llama.cpp Run
Granite 4.1 3B 3.4B Q6_K 2.6 GB 0.31 GB 3.5 GB
201.3 GB free
50 llama.cpp Run
Llama 3.2 3B Instruct 3.21B Q6_K 2.5 GB 0.44 GB 3.5 GB
201.3 GB free
52 llama.cpp Run
LFM2.5 2.6B New 2.7B Q6_K 2.1 GB 0.06 GB 2.7 GB
202.1 GB free
62 llama.cpp Run
Qwen3.5 2B 2.27B Q6_K 1.7 GB 0.05 GB 2.4 GB
202.4 GB free
74 llama.cpp Run
Qwen3 1.7B 1.72B Q6_K 1.3 GB 0.44 GB 2.4 GB
202.4 GB free
98 llama.cpp Run
Llama 3.2 1B Instruct 1.24B Q6_K 0.9 GB 0.13 GB 1.7 GB
203.1 GB free
136 llama.cpp Run
Gemma 3 1B 1.0B Q6_K 0.8 GB 0.03 GB 1.4 GB
203.4 GB free
168 llama.cpp Run
Qwen3.5 0.8B 0.87B Q6_K 0.7 GB 0.05 GB 1.3 GB
203.5 GB free
194 llama.cpp Run
Qwen3 0.6B 0.6B Q6_K 0.5 GB 0.44 GB 1.5 GB
203.3 GB free
281 llama.cpp Run

Runs — tight

1 model · fits at 4K, drop context or quant to go longer
ModelParamsQuantWeights +KV 4KTotal VRAM headroom Tok/sRuntime
Qwen3 235B-A22B 235B MoE / 22B act Q6_K 179.5 GB 0.73 GB 180.8 GB
24.0 GB free
3.4 llama.cpp Run

Won't fit in VRAM

9 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 4KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q6_K 2123.0 GB 0.11 GB 2123.7 GB +1918.9 GB ~0.7 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q6_K 1868.0 GB 0.36 GB 1868.9 GB +1664.1 GB ~0.8 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q6_K 1260.1 GB 0.27 GB 1260.9 GB +1056.1 GB ~1.5 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q6_K 784.3 GB 0.27 GB 785.2 GB +580.4 GB ~2.3 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q6_K 575.1 GB 0.34 GB 576.0 GB +371.2 GB ~1.9 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q6_K 512.4 GB 0.27 GB 513.3 GB +308.5 GB ~2.0 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q6_K 307.8 GB 0.12 GB 308.5 GB +103.7 GB ~4.4 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q6_K 303.2 GB 0.12 GB 303.9 GB +99.1 GB ~4.4 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q6_K 216.9 GB 0.19 GB 217.7 GB +12.9 GB ~5.8 llama.cpp Why

Totals = quantised weights + f16 KV cache at 4K 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.