Your rig

GeForce RTX 4080 · 16 GB

128 GB system RAM · Ada Lovelace · 717 GB/s · 14.4 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 GeForce RTX 4080

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 Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q6_K · 12.1 GB 47 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q6_K · 9.0 GB 59 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 12.2 GB 90 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q6_K · 12.1 GB 47 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q6_K · 12.1 GB 47 Runs great
Best for agents gpt-oss 20B
OpenAI · Apache 2.0
Harmony-format tool calling, native 4-bit. MXFP4 · 12.2 GB 90 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q6_K · 12.1 GB 47 Runs great
Fastest good model gpt-oss 20B
OpenAI · Apache 2.0
3.6B active, native 4-bit. MXFP4 · 12.2 GB 90 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q6_K · 12.0 GB
at 128K context
59 Runs great

Everything that fits

Runs great

31 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.75 GB 12.2 GB
2.2 GB free
90 Ollama Run
Gemma 3 12B 12.2B Q6_K 9.3 GB 2.31 GB 12.2 GB
2.2 GB free
47 Ollama Run
Gemma 4 12B 12B Q6_K 9.2 GB 2.31 GB 12.1 GB
2.3 GB free
47 Ollama Run
Qwen3.5 9B 9.65B Q6_K 7.4 GB 1.00 GB 9.0 GB
5.4 GB free
59 Ollama Run
Ornith 1.5 9B New this week 9.41B Q6_K 7.2 GB 1.00 GB 8.8 GB
5.6 GB free
60 Ollama Run
Ministral 3 8B 8.92B Q6_K 6.8 GB 4.25 GB 11.7 GB
2.7 GB free
64 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q6_K 6.5 GB 0.38 GB 7.4 GB
7.0 GB free
146 Ollama Run
Fara 7B 8.29B Q6_K 6.3 GB 1.75 GB 8.7 GB
5.7 GB free
69 llama.cpp Run
Qwen3 8B 8.19B Q6_K 6.3 GB 4.50 GB 11.4 GB
3.0 GB free
69 Ollama Run
Llama 3.1 8B Instruct 8.03B Q6_K 6.1 GB 4.00 GB 10.7 GB
3.7 GB free
71 Ollama Run
Gemma 4 E4B 8.0B Q6_K 6.1 GB 0.47 GB 7.2 GB
7.2 GB free
71 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
7.6 GB free
168 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q6_K 5.8 GB 1.75 GB 8.2 GB
6.2 GB free
75 Ollama Run
Qwen2.5-Coder 7B 7.62B Q6_K 5.8 GB 1.75 GB 8.2 GB
6.2 GB free
75 Ollama Run
Olmo 3 7B Instruct 7.3B Q6_K 5.6 GB 5.50 GB 11.7 GB
2.7 GB free
78 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q6_K 5.5 GB 4.00 GB 10.1 GB
4.3 GB free
78 Ollama Run
Gemma 4 E2B 5.1B Q6_K 3.9 GB 0.23 GB 4.7 GB
9.7 GB free
111 Ollama Run
Qwen3.5 4B 4.66B Q6_K 3.6 GB 1.00 GB 5.2 GB
9.2 GB free
122 Ollama Run
Gemma 3 4B 4.3B Q6_K 3.3 GB 0.86 GB 4.7 GB
9.7 GB free
132 Ollama Run
Qwen3 4B 4.02B Q6_K 3.1 GB 4.50 GB 8.2 GB
6.2 GB free
141 Ollama Run
Ministral 3 3B 3.85B Q6_K 2.9 GB 3.25 GB 6.8 GB
7.6 GB free
148 Ollama Run
Phi-4-mini 3.8B 3.84B Q6_K 2.9 GB 4.00 GB 7.5 GB
6.9 GB free
148 Ollama Run
Granite 4.1 3B 3.4B Q6_K 2.6 GB 2.50 GB 5.7 GB
8.7 GB free
167 Ollama Run
Llama 3.2 3B Instruct 3.21B Q6_K 2.5 GB 3.50 GB 6.6 GB
7.8 GB free
177 Ollama Run
LFM2.5 2.6B New 2.7B Q6_K 2.1 GB 0.50 GB 3.2 GB
11.2 GB free
211 llama.cpp Run
Qwen3.5 2B 2.27B Q6_K 1.7 GB 0.38 GB 2.7 GB
11.7 GB free
250 Ollama Run
Qwen3 1.7B 1.72B Q6_K 1.3 GB 3.50 GB 5.4 GB
9.0 GB free
330 Ollama Run
Llama 3.2 1B Instruct 1.24B Q6_K 0.9 GB 1.00 GB 2.5 GB
11.9 GB free
458 Ollama Run
Gemma 3 1B 1.0B Q6_K 0.8 GB 0.14 GB 1.5 GB
12.9 GB free
568 Ollama Run
Qwen3.5 0.8B 0.87B Q6_K 0.7 GB 0.38 GB 1.6 GB
12.8 GB free
653 Ollama Run
Qwen3 0.6B 0.6B Q6_K 0.5 GB 3.50 GB 4.6 GB
9.8 GB free
947 Ollama Run

Runs — tight

1 model · fits at 32K, drop context or quant to go longer
ModelParamsQuantWeights +KV 32KTotal VRAM headroom Tok/sRuntime
Granite 4.1 8B 8.79B Q6_K 6.7 GB 5.00 GB 12.3 GB
2.1 GB free
65 llama.cpp Run

Won't fit in VRAM

44 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 32KTotal Over budget Tok/sRuntime
Qwen3.5 122B-A10B 125B MoE / 10B act Q6_K 95.5 GB 0.75 GB 96.8 GB +82.4 GB ~2.1 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q6_K 94.7 GB 0.25 GB 95.5 GB +81.1 GB ~1.8 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 +81.1 GB ~4.1 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q6_K 90.9 GB 0.70 GB 92.2 GB +77.8 GB ~3.2 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 1.13 GB 62.2 GB +47.8 GB ~6.5 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q6_K 83.2 GB 2.63 GB 86.5 GB +72.1 GB ~1.2 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q6_K 53.9 GB 10.00 GB 64.5 GB +50.1 GB ~0.7 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q6_K 53.9 GB 10.00 GB 64.5 GB +50.1 GB ~0.7 llama.cpp Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q6_K 27.4 GB 0.63 GB 28.6 GB +14.2 GB ~9.9 llama.cpp Why
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 +14.2 GB ~9.9 llama.cpp Why
LLM-jp 4 33B Thinking New this week 33.2B Q6_K 25.4 GB 8.00 GB 34.0 GB +19.6 GB ~1.8 llama.cpp Why
Qwen3 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB +19.2 GB ~1.8 llama.cpp Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB +19.2 GB ~1.8 llama.cpp Why
Qwen2.5-Coder 32B 32.8B Q6_K 25.0 GB 8.00 GB 33.6 GB +19.2 GB ~1.8 llama.cpp Why
Olmo 3.1 32B Instruct 32.2B Q6_K 24.6 GB 2.75 GB 27.9 GB +13.5 GB ~2.5 llama.cpp Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q6_K 24.1 GB 0.19 GB 24.9 GB +10.5 GB ~12 llama.cpp Why
Gemma 4 31B 31.3B Q6_K 23.9 GB 5.78 GB 30.3 GB +15.9 GB ~2.2 llama.cpp Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q6_K 23.8 GB 1.65 GB 26.1 GB +11.7 GB ~11 llama.cpp Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 3.00 GB 26.9 GB +12.5 GB ~9.6 llama.cpp Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q6_K 23.3 GB 3.00 GB 26.9 GB +12.5 GB ~9.6 llama.cpp Why
Muse Glimmer 30B New 29.8B Q6_K 22.8 GB 0.48 GB 23.8 GB +9.4 GB ~3.4 llama.cpp Why
Granite 4.1 30B 28.9B Q6_K 22.1 GB 8.00 GB 30.7 GB +16.3 GB ~2.2 llama.cpp Why
Qwen3.8 27B New this week 27.8B Q6_K 21.2 GB 2.00 GB 23.8 GB +9.4 GB ~3.5 llama.cpp Why
Qwen3.6 27B 27.8B Q6_K 21.2 GB 2.00 GB 23.8 GB +9.4 GB ~3.5 llama.cpp Why
Gemma 3 27B 27.4B Q6_K 20.9 GB 2.91 GB 24.4 GB +10.0 GB ~3.3 llama.cpp Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q6_K 20.2 GB 1.45 GB 22.3 GB +7.9 GB ~11 llama.cpp Why
Devstral Small 2 24B 24B Q6_K 18.3 GB 5.00 GB 23.9 GB +9.5 GB ~3.5 llama.cpp Why
Mistral Small 3.2 24B 23.6B Q6_K 18.0 GB 5.00 GB 23.6 GB +9.2 GB ~3.6 llama.cpp Why
Qwen3 14B 14.8B Q6_K 11.3 GB 5.00 GB 16.9 GB +2.5 GB ~11 llama.cpp Why
DeepSeek-R1-Distill-Qwen 14B 14.8B Q6_K 11.3 GB 6.00 GB 17.9 GB +3.5 GB ~8.7 llama.cpp Why
Qwen2.5-Coder 14B 14.8B Q6_K 11.3 GB 6.00 GB 17.9 GB +3.5 GB ~8.7 llama.cpp Why
Phi-4 14B 14.7B Q6_K 11.2 GB 3.13 GB 15.0 GB +0.6 GB ~25 llama.cpp Why
Ministral 3 14B 13.9B Q6_K 10.6 GB 5.00 GB 16.2 GB +1.8 GB ~14 llama.cpp Why
Mistral NeMo 12B 12.2B Q6_K 9.3 GB 5.00 GB 14.9 GB +0.5 GB ~29 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q6_K 2123.0 GB 0.84 GB 2124.5 GB +2110.1 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 +1857.0 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 +1248.4 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 +772.6 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 +564.0 GB ~0.5 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q6_K 512.4 GB 2.14 GB 515.2 GB +500.8 GB ~0.5 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q6_K 307.8 GB 0.94 GB 309.3 GB +294.9 GB ~1.1 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 +290.3 GB ~1.1 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q6_K 216.9 GB 1.51 GB 219.0 GB +204.6 GB ~1.5 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q6_K 179.5 GB 5.88 GB 185.9 GB +171.5 GB ~0.9 llama.cpp Why

Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 14.4 GB usable VRAM (16 GB less display and driver reserve). Tokens per second are estimated from 717 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.