NVIDIA · Ampere

What runs on a RTX 3080 12GB

12 GB at 912 GB/s. The largest model that fits at Q4_K_M is Mistral NeMo 12B, at roughly 73.4 tokens per second.

Runs comfortably

6.4 GB of 10.5 GB · 61%
010 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 4.0 GB spare on a RTX 3080 12GB. There is room to raise the context length or move up a quantisation level.

Generation109tok/s
Prompt processing1569tok/s
Max context40Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a RTX 3080 12GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Won't fit 5.41
INT8 / W8A8 8.50 7.7 GB 9.5 GB Fits, but tight 16K 68.6
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Fits, but tight 16K 68.6
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 17K 70.6
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 28K 84.7
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 94.8
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 94.8
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 34K 94.8
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 35K 96.6
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 36K 98.9
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 40K 109
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 42K 114
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 42K 115
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 44K 121
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 46K 128
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 48K 133
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 52K 151
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 55K 167
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 59K 193
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 61K 211

Models on a RTX 3080 12GB

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 1.90
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 3.09
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 13.8
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 4.34
Qwen2.5 72B 72.7B 41.2 GB Won't fit 1.11
Llama 3.1 70B 70.5B 40.0 GB Won't fit 1.16
Mixtral 8x7B 46.7B 26.4 GB Won't fit 7.16
Command R 35B 35.0B 20.1 GB Won't fit 1.59
Yi-1.5 34B 34.4B 19.5 GB Won't fit 3.04
Qwen3 32B 32.8B 18.6 GB Won't fit 3.27
Qwen2.5-Coder 32B 32.8B 18.6 GB Won't fit 3.27
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Won't fit 3.27
Qwen3 30B-A3B 30.5B 17.3 GB Won't fit 28.8
Gemma 3 27B 27.4B 15.6 GB Won't fit 4.99
Mistral Small 24B 23.6B 13.4 GB Won't fit 6.79
gpt-oss 20B-A3.6B 20.9B 11.9 GB Won't fit 54.3
Qwen3 14B 14.8B 8.5 GB Won't fit 8K 46.7
Phi-4 14B 14.7B 8.4 GB Won't fit 6K 37.1
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 17K 73.4
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 38K 74.2
GLM-4 9B 9.4B 5.4 GB Runs comfortably 109K 100
Qwen3 8B 8.2B 4.7 GB Runs comfortably 35K 106
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 40K 109
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 40K 109
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 97K 121
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 121
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 204
Qwen3 4B 4.0B 2.3 GB Runs comfortably 53K 191
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 72K 240
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 634

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