Mistral on NVIDIA Ampere

Can I run Mixtral 8x7B on an RTX 3090?

Not at Q4_K_M — it needs 28.2 GB against 21.8 GB available. Drop to IQ3_XXS and it fits, at about 92.3 tokens per second.

Won't fit

28.2 GB of 21.8 GB · 130%
029 GB
Weights 26.4 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB
Over the limit 6.4 GB

Short by 6.4 GB. You can run it with 24 of 32 layers on the RTX 3090 and the rest in system RAM, at roughly 16.4 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation16.4tok/s
Prompt processing1156tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of Mixtral 8x7B on a RTX 3090

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 87.0 GB 88.8 GB Won't fit 2.04
INT8 / W8A8 8.50 46.2 GB 48.0 GB Won't fit 4.80
Q8_0 (GGUF) 8.50 46.2 GB 48.0 GB Won't fit 4.80
FP8 (E4M3) 8.00 43.5 GB 45.3 GB Won't fit 5.33
Q6_K 6.56 35.7 GB 37.5 GB Won't fit 7.52
Q5_K_M 5.67 30.8 GB 32.6 GB Won't fit 10.4
Q5_K_S 5.52 30.0 GB 31.8 GB Won't fit 11.4
Q4_K_M 4.85 26.4 GB 28.2 GB Won't fit 16.4
Q4_K_S 4.58 24.9 GB 26.7 GB Won't fit 19.0
Q4_0 4.55 24.8 GB 26.6 GB Won't fit 19.1
AWQ 4-bit 4.25 23.5 GB 25.3 GB Won't fit 25.2
GPTQ 4-bit 4.25 23.5 GB 25.3 GB Won't fit 25.2
MXFP4 4.25 23.5 GB 25.3 GB Won't fit 25.2
IQ4_XS 4.25 23.1 GB 25.0 GB Won't fit 25.5
Q3_K_M 3.91 21.3 GB 23.1 GB Won't fit 36.8
IQ3_M 3.70 20.2 GB 22.0 GB Won't fit 6K 58.5
IQ3_XXS 3.06 16.7 GB 18.5 GB Runs comfortably 32K 92.3
Q2_K 2.63 14.4 GB 16.2 GB Runs comfortably 32K 105
IQ2_XXS 2.06 11.3 GB 13.1 GB Runs comfortably 32K 127
IQ1_M 1.75 9.6 GB 11.4 GB Runs comfortably 32K 144

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