Mistral on NVIDIA Ada

Can I run Mistral NeMo 12B on an RTX 4090?

Yes. Mistral NeMo 12B at Q4_K_M uses 9.1 GB of the 21.8 GB available on a RTX 4090, and runs at about 77.6 tokens per second. You can push the context to 89K.

Runs comfortably

9.1 GB of 21.8 GB · 42%
022 GB
Weights 7.0 GB
KV cache 1.3 GB
Runtime overhead 0.8 GB

Mistral NeMo 12B at Q4_K_M leaves 12.7 GB spare on a RTX 4090. There is room to raise the context length or move up a quantisation level.

Generation77.6tok/s
Prompt processing2829tok/s
Max context89Ktokens
KV per 1K tokens0GB

Every quantisation of Mistral NeMo 12B on a RTX 4090

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 22.8 GB 24.9 GB Won't fit 8.00
INT8 / W8A8 8.50 11.8 GB 13.9 GB Runs comfortably 58K 48.0
Q8_0 (GGUF) 8.50 11.8 GB 13.9 GB Runs comfortably 58K 48.0
FP8 (E4M3) 8.00 11.4 GB 13.5 GB Runs comfortably 61K 49.6
Q6_K 6.56 9.4 GB 11.4 GB Runs comfortably 74K 59.7
Q5_K_M 5.67 8.1 GB 10.2 GB Runs comfortably 82K 68.3
AWQ 4-bit 4.25 7.9 GB 10.0 GB Runs comfortably 83K 69.7
GPTQ 4-bit 4.25 7.9 GB 10.0 GB Runs comfortably 83K 69.7
MXFP4 4.25 7.9 GB 10.0 GB Runs comfortably 83K 69.7
Q5_K_S 5.52 7.9 GB 10.0 GB Runs comfortably 84K 69.9
Q4_K_M 4.85 7.0 GB 9.1 GB Runs comfortably 89K 77.6
Q4_K_S 4.58 6.7 GB 8.8 GB Runs comfortably 91K 81.2
Q4_0 4.55 6.6 GB 8.7 GB Runs comfortably 91K 81.6
IQ4_XS 4.25 6.3 GB 8.3 GB Runs comfortably 94K 86.0
Q3_K_M 3.91 5.8 GB 7.9 GB Runs comfortably 97K 91.7
IQ3_M 3.70 5.6 GB 7.6 GB Runs comfortably 98K 95.5
IQ3_XXS 3.06 4.7 GB 6.8 GB Runs comfortably 104K 110
Q2_K 2.63 4.2 GB 6.3 GB Runs comfortably 107K 122
IQ2_XXS 2.06 3.5 GB 5.6 GB Runs comfortably 112K 142
IQ1_M 1.75 3.1 GB 5.2 GB Runs comfortably 114K 157

Also worth checking