Can the Arc B580 run Mixtral 8x7B Instruct v0.1?
Does not fit 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 12GB, about 15.6 GiB more than the card has.
All three quants
12GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 26.1 GiB | 27.6 GiB | Does not fit | short 15.6 GiB |
| Q8_0near-lossless | 46.1 GiB | 47.6 GiB | Does not fit | short 35.6 GiB |
| FP16full weights | 87.0 GiB | 88.5 GiB | Does not fit | short 76.5 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.
The numbers for this pairing
At Q4_K_M the weights take about 26.1 GiB, so with the 1.5 GiB runtime reserve it needs 27.6 GB: 15.6 GB more than the card's 12 GB.
No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.
It is a mixture-of-experts model: about 12.9B of its 46.7B parameters work on each token, which helps speed, but all of them still have to fit in memory.
At about $330, this card costs roughly $27 per GB of VRAM.
Running it at its full 190 W board power for 4 hours a day would use about 23 kWh a month, about $4.20 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Not this card. These fit it comfortably at Q4.
Nothing in the consumer catalog fits Mixtral 8x7B Instruct v0.1 at Q4 on a single card; this is multi-GPU or datacenter territory, or a job for hosted inference (see PicksByModel for per-token pricing).
What the Arc B580 does run well → · Mixtral 8x7B Instruct v0.1 on every card →
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 →