What LLMs can a GeForce RTX 5080 run?

Your rig

GeForce RTX 5080 · 16 GB

64 GB system RAM · Blackwell · 960 GB/s · 14.4 GB usable VRAM

Which one should I actually run?

Best models for your GeForce RTX 5080

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 8K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

All General assistant Coding Reasoning & maths Writing Vision Agents & tool use Translation Low latency Long context

Recommendation	Model	Why	Quant · total	Tok/s est.
Best overall	Gemma 4 12B Google · Apache 2.0	The 12 GB generalist: text, image and audio in, 140+ languages.	Q6_K · 10.6 GB	63	Runs great Run
Best for coding	Qwen3.5 9B Alibaba · Apache 2.0	The best coding model for 8–12 GB cards.	Q6_K · 8.2 GB	79	Runs great Run
Best reasoning	gpt-oss 20B OpenAI · Apache 2.0	Low/medium/high reasoning effort in 13 GB.	MXFP4 · 11.6 GB	120	Runs great Run
Best for writing	Gemma 4 12B Google · Apache 2.0	The 12 GB writing pick; 140+ languages.	Q6_K · 10.6 GB	63	Runs great Run
Best vision	Gemma 4 12B Google · Apache 2.0	Image and audio understanding on 12 GB.	Q6_K · 10.6 GB	63	Runs great Run
Best for agents	gpt-oss 20B OpenAI · Apache 2.0	Harmony-format tool calling, native 4-bit.	MXFP4 · 11.6 GB	120	Runs great Run
Best translation	Gemma 4 12B Google · Apache 2.0	Broad language coverage on a 12 GB card.	Q6_K · 10.6 GB	63	Runs great Run
Fastest good model	gpt-oss 20B OpenAI · Apache 2.0	3.6B active, native 4-bit.	MXFP4 · 11.6 GB	120	Runs great Run
Best long context	Qwen3.5 9B Alibaba · Apache 2.0	262K native in 8–12 GB.	Q6_K · 12.0 GB at 128K context	79	Runs great Run

Everything that fits

Runs great

33 of 76 · fits with headroom for a longer prompt

Model	Params	Quant	Weights	+KV 8K	Total	VRAM headroom	Tok/s	Runtime
gpt-oss 20B	20.9B MoE / 3.6B act	MXFP4	10.8 GB	0.19 GB	11.6 GB	2.8 GB free	120	Ollama	Run
Gemma 3 12B	12.2B	Q6_K	9.3 GB	0.81 GB	10.7 GB	3.7 GB free	62	Ollama	Run
Mistral NeMo 12B	12.2B	Q6_K	9.3 GB	1.25 GB	11.2 GB	3.2 GB free	62	Ollama	Run
Gemma 4 12B	12B	Q6_K	9.2 GB	0.81 GB	10.6 GB	3.8 GB free	63	Ollama	Run
Qwen3.5 9B	9.65B	Q6_K	7.4 GB	0.25 GB	8.2 GB	6.2 GB free	79	Ollama	Run
Ornith 1.5 9B New this week	9.41B	Q6_K	7.2 GB	0.25 GB	8.0 GB	6.4 GB free	81	Ollama	Run
Ministral 3 8B	8.92B	Q6_K	6.8 GB	1.06 GB	8.5 GB	5.9 GB free	85	Ollama	Run
Granite 4.1 8B	8.79B	Q6_K	6.7 GB	1.25 GB	8.6 GB	5.8 GB free	87	Ollama	Run
LFM2.5 8B-A1B	8.47B MoE / 1.5B act	Q6_K	6.5 GB	0.09 GB	7.2 GB	7.2 GB free	195	Ollama	Run
Fara 7B	8.29B	Q6_K	6.3 GB	0.44 GB	7.4 GB	7.0 GB free	92	llama.cpp	Run
Qwen3 8B	8.19B	Q6_K	6.3 GB	1.13 GB	8.0 GB	6.4 GB free	93	Ollama	Run
Llama 3.1 8B Instruct	8.03B	Q6_K	6.1 GB	1.00 GB	7.7 GB	6.7 GB free	95	Ollama	Run
Gemma 4 E4B	8.0B	Q6_K	6.1 GB	0.14 GB	6.9 GB	7.5 GB free	95	Ollama	Run
Ling 3.0 Tiny 7.9B-A1.3B New	7.9B MoE / 1.3B act	Q6_K	6.0 GB	0.05 GB	6.7 GB	7.7 GB free	225	llama.cpp	Run
DeepSeek-R1-Distill-Qwen 7B	7.62B	Q6_K	5.8 GB	0.44 GB	6.9 GB	7.5 GB free	100	Ollama	Run
Qwen2.5-Coder 7B	7.62B	Q6_K	5.8 GB	0.44 GB	6.9 GB	7.5 GB free	100	Ollama	Run
Olmo 3 7B Instruct	7.3B	Q6_K	5.6 GB	2.50 GB	8.7 GB	5.7 GB free	104	Ollama	Run
Mistral 7B Instruct v0.3	7.25B	Q6_K	5.5 GB	1.00 GB	7.1 GB	7.3 GB free	105	Ollama	Run
Gemma 4 E2B	5.1B	Q6_K	3.9 GB	0.07 GB	4.6 GB	9.8 GB free	149	Ollama	Run
Qwen3.5 4B	4.66B	Q6_K	3.6 GB	0.25 GB	4.4 GB	10.0 GB free	163	Ollama	Run
Gemma 3 4B	4.3B	Q6_K	3.3 GB	0.30 GB	4.2 GB	10.2 GB free	177	Ollama	Run
Qwen3 4B	4.02B	Q6_K	3.1 GB	1.13 GB	4.8 GB	9.6 GB free	189	Ollama	Run
Ministral 3 3B	3.85B	Q6_K	2.9 GB	0.81 GB	4.4 GB	10.0 GB free	198	Ollama	Run
Phi-4-mini 3.8B	3.84B	Q6_K	2.9 GB	1.00 GB	4.5 GB	9.9 GB free	198	Ollama	Run
Granite 4.1 3B	3.4B	Q6_K	2.6 GB	0.63 GB	3.8 GB	10.6 GB free	224	Ollama	Run
Llama 3.2 3B Instruct	3.21B	Q6_K	2.5 GB	0.88 GB	3.9 GB	10.5 GB free	237	Ollama	Run
LFM2.5 2.6B New	2.7B	Q6_K	2.1 GB	0.13 GB	2.8 GB	11.6 GB free	282	llama.cpp	Run
Qwen3.5 2B	2.27B	Q6_K	1.7 GB	0.09 GB	2.4 GB	12.0 GB free	335	Ollama	Run
Qwen3 1.7B	1.72B	Q6_K	1.3 GB	0.88 GB	2.8 GB	11.6 GB free	442	Ollama	Run
Llama 3.2 1B Instruct	1.24B	Q6_K	0.9 GB	0.25 GB	1.8 GB	12.6 GB free	614	Ollama	Run
Gemma 3 1B	1.0B	Q6_K	0.8 GB	0.04 GB	1.4 GB	13.0 GB free	761	Ollama	Run
Qwen3.5 0.8B	0.87B	Q6_K	0.7 GB	0.09 GB	1.4 GB	13.0 GB free	875	Ollama	Run
Qwen3 0.6B	0.6B	Q6_K	0.5 GB	0.88 GB	1.9 GB	12.5 GB free	1268	Ollama	Run

Runs — tight

5 models · fits at 8K, drop context or quant to go longer

Model	Params	Quant	Weights	+KV 8K	Total	VRAM headroom	Tok/s	Runtime
Qwen3 14B	14.8B	Q6_K	11.3 GB	1.25 GB	13.2 GB	1.2 GB free	51	llama.cpp	Run
DeepSeek-R1-Distill-Qwen 14B	14.8B	Q6_K	11.3 GB	1.50 GB	13.4 GB	1.0 GB free	51	llama.cpp	Run
Qwen2.5-Coder 14B	14.8B	Q6_K	11.3 GB	1.50 GB	13.4 GB	1.0 GB free	51	llama.cpp	Run
Phi-4 14B	14.7B	Q6_K	11.2 GB	1.56 GB	13.4 GB	1.0 GB free	52	llama.cpp	Run
Ministral 3 14B	13.9B	Q6_K	10.6 GB	1.25 GB	12.5 GB	1.9 GB free	55	llama.cpp	Run

Won't fit in VRAM

38 models · some are possible with CPU offload

Model	Params	Quant	Weights	+KV 8K	Total	Over budget	Tok/s	Runtime
gpt-oss 120B	117B MoE / 5.1B act	MXFP4	60.5 GB	0.29 GB	61.4 GB	+47.0 GB	~6.7	llama.cpp	Why
Llama 3.3 70B Instruct	70.6B	Q6_K	53.9 GB	2.50 GB	57.0 GB	+42.6 GB	~0.8	llama.cpp	Why
DeepSeek-R1-Distill-Llama 70B	70.6B	Q6_K	53.9 GB	2.50 GB	57.0 GB	+42.6 GB	~0.8	llama.cpp	Why
Qwen3.6 35B-A3B	35.9B MoE / 3.3B act	Q6_K	27.4 GB	0.16 GB	28.2 GB	+13.8 GB	~10	llama.cpp	Why
Ornith 1.5 35B-A3B New this week	35.9B MoE / 3.3B act	Q6_K	27.4 GB	0.16 GB	28.2 GB	+13.8 GB	~10	llama.cpp	Why
LLM-jp 4 33B Thinking New this week	33.2B	Q6_K	25.4 GB	2.00 GB	28.0 GB	+13.6 GB	~2.5	llama.cpp	Why
Qwen3 32B	32.8B	Q6_K	25.0 GB	2.00 GB	27.6 GB	+13.2 GB	~2.6	llama.cpp	Why
DeepSeek-R1-Distill-Qwen 32B	32.8B	Q6_K	25.0 GB	2.00 GB	27.6 GB	+13.2 GB	~2.6	llama.cpp	Why
Qwen2.5-Coder 32B	32.8B	Q6_K	25.0 GB	2.00 GB	27.6 GB	+13.2 GB	~2.6	llama.cpp	Why
Olmo 3.1 32B Instruct	32.2B	Q6_K	24.6 GB	1.25 GB	26.4 GB	+12.0 GB	~2.8	llama.cpp	Why
Nemotron 3.5 Lightning 30B-A3B New	31.6B MoE / 3.2B act	Q6_K	24.1 GB	0.05 GB	24.8 GB	+10.4 GB	~12	llama.cpp	Why
Gemma 4 31B	31.3B	Q6_K	23.9 GB	2.03 GB	26.5 GB	+12.1 GB	~2.8	llama.cpp	Why
GLM-4.7-Flash 30B-A3B	31.2B MoE / 3B act	Q6_K	23.8 GB	0.41 GB	24.8 GB	+10.4 GB	~13	llama.cpp	Why
Qwen3 30B-A3B	30.5B MoE / 3.3B act	Q6_K	23.3 GB	0.75 GB	24.6 GB	+10.2 GB	~12	llama.cpp	Why
Qwen3 Coder 30B-A3B	30.5B MoE / 3.3B act	Q6_K	23.3 GB	0.75 GB	24.6 GB	+10.2 GB	~12	llama.cpp	Why
Muse Glimmer 30B New	29.8B	Q6_K	22.8 GB	0.18 GB	23.5 GB	+9.1 GB	~3.6	llama.cpp	Why
Granite 4.1 30B	28.9B	Q6_K	22.1 GB	2.00 GB	24.7 GB	+10.3 GB	~3.3	llama.cpp	Why
Qwen3.8 27B New this week	27.8B	Q6_K	21.2 GB	0.50 GB	22.3 GB	+7.9 GB	~4.1	llama.cpp	Why
Qwen3.6 27B	27.8B	Q6_K	21.2 GB	0.50 GB	22.3 GB	+7.9 GB	~4.1	llama.cpp	Why
Gemma 3 27B	27.4B	Q6_K	20.9 GB	1.03 GB	22.6 GB	+8.2 GB	~4.1	llama.cpp	Why
Gemma 4 26B-A4B	26.5B MoE / 3.8B act	Q6_K	20.2 GB	0.51 GB	21.3 GB	+6.9 GB	~13	llama.cpp	Why
Devstral Small 2 24B	24B	Q6_K	18.3 GB	1.25 GB	20.2 GB	+5.8 GB	~5.5	llama.cpp	Why
Mistral Small 3.2 24B	23.6B	Q6_K	18.0 GB	1.25 GB	19.9 GB	+5.5 GB	~5.8	llama.cpp	Why
Kimi K3 2.8T-A104B New	2780B MoE / 104B act	Q6_K	2123.0 GB	0.21 GB	2123.9 GB	+2109.5 GB	~0.2	llama.cpp	Why
Qwen3.8 2.4T-A95B New	2446B MoE / 95B act	Q6_K	1868.0 GB	0.72 GB	1869.3 GB	+1854.9 GB	~0.2	llama.cpp	Why
DeepSeek V4 Pro 1.6T-A49B New	1650B MoE / 49B act	Q6_K	1260.1 GB	0.54 GB	1261.2 GB	+1246.8 GB	~0.4	llama.cpp	Why
Kimi K2.6 1T-A32B	1027B MoE / 32B act	Q6_K	784.3 GB	0.54 GB	785.4 GB	+771.0 GB	~0.6	llama.cpp	Why
GLM-5.2 744B-A40B	753B MoE / 40B act	Q6_K	575.1 GB	0.69 GB	576.3 GB	+561.9 GB	~0.5	llama.cpp	Why
DeepSeek-R1 671B	671B MoE / 37B act	Q6_K	512.4 GB	0.54 GB	513.6 GB	+499.2 GB	~0.5	llama.cpp	Why
Qwen3.5 397B-A17B	403B MoE / 17B act	Q6_K	307.8 GB	0.23 GB	308.6 GB	+294.2 GB	~1.1	llama.cpp	Why
Ornith 1.5 397B-A17B New this week	397B MoE / 17B act	Q6_K	303.2 GB	0.23 GB	304.0 GB	+289.6 GB	~1.1	llama.cpp	Why
DeepSeek V4 Flash 284B-A13B New	284B MoE / 13B act	Q6_K	216.9 GB	0.38 GB	217.9 GB	+203.5 GB	~1.5	llama.cpp	Why
Qwen3 235B-A22B	235B MoE / 22B act	Q6_K	179.5 GB	1.47 GB	181.5 GB	+167.1 GB	~0.9	llama.cpp	Why
Qwen3.5 122B-A10B	125B MoE / 10B act	Q6_K	95.5 GB	0.19 GB	96.2 GB	+81.8 GB	~2.1	llama.cpp	Why
Nemotron 3 Super 120B-A12B	124B MoE / 12B act	Q6_K	94.7 GB	0.06 GB	95.4 GB	+81.0 GB	~1.8	llama.cpp	Why
Ling 3.0 Flash 124B-A5B New	124B MoE / 5.1B act	Q6_K	94.7 GB	0.06 GB	95.4 GB	+81.0 GB	~4.2	llama.cpp	Why
Mistral Small 4 119B-A6B	119B MoE / 6.5B act	Q6_K	90.9 GB	0.18 GB	91.7 GB	+77.3 GB	~3.3	llama.cpp	Why
Llama 4 Scout 109B-A17B	109B MoE / 17B act	Q6_K	83.2 GB	1.50 GB	85.3 GB	+70.9 GB	~1.2	llama.cpp	Why

Totals = quantised weights + f16 KV cache at 8K 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 960 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.