Mistral on NVIDIA Blackwell

Can I run Mistral NeMo 12B on an NVIDIA DGX Spark (GB10)?

Yes. Mistral NeMo 12B at Q4_K_M uses 8.8 GB of the 96.0 GB available on a NVIDIA DGX Spark (GB10), and runs at about 23.5 tokens per second. You can push the context to 128K.

Runs comfortably

8.8 GB of 96.0 GB · 9%
096 GB
Weights 7.0 GB
KV cache 1.3 GB
Runtime overhead 0.5 GB

Mistral NeMo 12B at Q4_K_M leaves 87.2 GB spare on a NVIDIA DGX Spark (GB10). There is room to raise the context length or move up a quantisation level.

Generation23.5tok/s
Prompt processing2143tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Mistral NeMo 12B on a NVIDIA DGX Spark (GB10)

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 22.8 GB 24.6 GB Runs comfortably 128K 7.68
INT8 / W8A8 8.50 11.8 GB 13.6 GB Runs comfortably 128K 14.5
Q8_0 (GGUF) 8.50 11.8 GB 13.6 GB Runs comfortably 128K 14.5
FP8 (E4M3) 8.00 11.4 GB 13.2 GB Runs comfortably 128K 14.9
Q6_K 6.56 9.4 GB 11.1 GB Runs comfortably 128K 18.0
Q5_K_M 5.67 8.1 GB 9.9 GB Runs comfortably 128K 20.6
AWQ 4-bit 4.25 7.9 GB 9.7 GB Runs comfortably 128K 21.1
GPTQ 4-bit 4.25 7.9 GB 9.7 GB Runs comfortably 128K 21.1
MXFP4 4.25 7.9 GB 9.7 GB Runs comfortably 128K 21.1
Q5_K_S 5.52 7.9 GB 9.7 GB Runs comfortably 128K 21.1
Q4_K_M 4.85 7.0 GB 8.8 GB Runs comfortably 128K 23.5
Q4_K_S 4.58 6.7 GB 8.5 GB Runs comfortably 128K 24.6
Q4_0 4.55 6.6 GB 8.4 GB Runs comfortably 128K 24.7
IQ4_XS 4.25 6.3 GB 8.0 GB Runs comfortably 128K 26.1
Q3_K_M 3.91 5.8 GB 7.6 GB Runs comfortably 128K 27.8
IQ3_M 3.70 5.6 GB 7.3 GB Runs comfortably 128K 29.0
IQ3_XXS 3.06 4.7 GB 6.5 GB Runs comfortably 128K 33.3
Q2_K 2.63 4.2 GB 6.0 GB Runs comfortably 128K 37.1
IQ2_XXS 2.06 3.5 GB 5.3 GB Runs comfortably 128K 43.5
IQ1_M 1.75 3.1 GB 4.9 GB Runs comfortably 128K 48.1

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