Can the GeForce RTX 5090 run Mixtral 8x7B Instruct v0.1?
Fits, tight on context at Q4_K_M.
Mixtral 8x7B Instruct v0.1 is 46.7B parameters (MoE; all experts resident). At Q4_K_M the weights are about 26.1 GiB; with the 1.5 GiB runtime reserve that is 27.6 GiB against the card's 32GB, leaving about 4.4 GiB for context.
All three quants
32GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 26.1 GiB | 27.6 GiB | Fits, tight on context | 4.4 GiB |
| Q8_0near-lossless | 46.1 GiB | 47.6 GiB | Only with CPU offload | short 15.6 GiB |
| FP16full weights | 87.0 GiB | 88.5 GiB | Does not fit | short 56.5 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
Good match. Get the card.
The GeForce RTX 5090 clears Mixtral 8x7B Instruct v0.1 at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Mixtral 8x7B Instruct v0.1 by Mistral AI: 32,768-token native context, text, released 2023 under the Apache-2.0. Model card →