Can the Arc B570 run Gemma 2 9B IT?
Fits comfortably at Q4_K_M.
Gemma 2 9B IT is 9.24B parameters. At Q4_K_M the weights are about 5.2 GiB; with the 1.5 GiB runtime reserve that is 6.7 GiB against the card's 10GB, leaving about 3.3 GiB for context.
All three quants
10GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 5.2 GiB | 6.7 GiB | Fits comfortably | 3.3 GiB |
| Q8_0near-lossless | 9.1 GiB | 10.6 GiB | Only with CPU offload | short 0.6 GiB |
| FP16full weights | 17.2 GiB | 18.7 GiB | Only with CPU offload | short 8.7 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 Arc B570 clears Gemma 2 9B IT at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Gemma 2 9B IT by Google: 8,192-token native context, text, released 2024 under the Gemma Terms of Use. Model card →