picksbycard
October 7, 2026No. 158
Arc B570 · 10GB GDDR6

Can the Arc B570 run Llama 3.2 3B Instruct?

Fits comfortably at Q4_K_M.

Llama 3.2 3B Instruct is 3.21B parameters. At Q4_K_M the weights are about 1.8 GiB; with the 1.5 GiB runtime reserve that is 3.3 GiB against the card's 10GB, leaving about 6.7 GiB for context.

All three quants

10GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant1.8 GiB3.3 GiBFits comfortably6.7 GiB
Q8_0near-lossless3.2 GiB4.7 GiBFits comfortably5.3 GiB
FP16full weights6.0 GiB7.5 GiBFits comfortably2.5 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 1.8 GiB; with the 1.5 GiB we set aside for the runtime that is 3.3 of the card's 10 GB, leaving about 6.7 GB for the context cache.

The highest-quality version that fits entirely in memory is FP16 (full quality).

This is the cheapest card on our list that runs it comfortably at Q4, at about $260.

At about $260, this card costs roughly $26 per GB of VRAM.

Running it at its full 150 W board power for 4 hours a day would use about 18 kWh a month, about $3.31 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.

Good match. Get the card.

The Arc B570 clears Llama 3.2 3B Instruct at Q4_K_M and at Q8_0. Live listings below; this page was rebuilt 2026-10-07.

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About the model

Llama 3.2 3B Instruct by Meta: 131,072-token native context, text, released 2024 under the Llama 3.2 Community License. Model card → · Hosted pricing on PicksByModel →

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