Can I run it?
Can I run Swift Qwen3.8 27B on Intel Arc B580?
Heavily degraded
Heavily degraded fully on your Intel Arc B580 at IQ2_S, 8K context, about 24–33 tok/s. Weights 9.22 GB plus 0.57 GB of KV cache — 10.2 GB of 10.9 GB usable. Up to 16K context still fits.
Best quantIQ2_S
Working context8K
Max that fits16K
Speed24–33 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights9.22 GB
KV cache0.57 GB
Total10.2 GB
Usable10.9 GB
Swift Qwen3.8 27B details · Intel Arc B580 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf ukisai/Swift-Qwen3.8-27B-GGUF:IQ2_S -c 8192 -ngl 64
No matching name in the Ollama library snapshot.
LM Studio
lms get ukisai/Swift-Qwen3.8-27B-GGUF # Then load quant IQ2_S
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- IQ2_S size is the real GGUF file size from Hugging Face.
- 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
- Speed is quoted at 8K context, not at the maximum context that still fits.
- This quant is IQ1 or IQ2. It can load, but quality is heavily degraded, so it is left off best-fit lists.
Larger models that also fit
- Can I run Qwen3.8 27B on Intel Arc B580? — Tight fit, UD-Q2_K_XL, 24–33 tok/s (estimate)
- Can I run Qwen3.6 35B A3B on Intel Arc B580? — Heavily degraded, UD-IQ2_XXS, 55–75 tok/s (estimate)
- Can I run Qwen3.5 35B A3B on Intel Arc B580? — Heavily degraded, UD-IQ2_XXS, 56–76 tok/s (estimate)
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.