Alibaba Qwen
Can the Arc Pro B60 run Qwen3.5 27B?
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Yes. Qwen3.5 27B is a 17–20 GB download (Q4_K_M). The Arc Pro B60 gives the GPU 24 GB, leaving about 4 GB for context and runtime (our arithmetic).
Does it fit?
| Qwen3.5 27B memory | 17–20 GB at Q4_K_M (Ollama: qwen3.5 tags) |
|---|---|
| Arc Pro B60 GPU memory | 24 GB of VRAM (product listing). |
| Left over | About 4 GB (our arithmetic) |
| Verdict | Fits 4 GB or more to spare (our estimate bands) |
Recommended quantization and context
Use the Q4_K_M build that Ollama's tag downloads; the memory figure above is for that build. The model supports up to 256K of context, but longer context uses more memory. Ollama starts at a 4096-token context by default (Ollama FAQ).
With about 4 GB spare you have room to raise the context. Raise it in steps and re-check with ollama ps.
Run it
ollama run qwen3.5:27bThen check it's on the GPU:
ollama psThe PROCESSOR column should read 100% GPU. Driver setup for Intel cards on Windows, Linux and macOS, plus common fixes, is in the install and run section.
Where to buy the Arc Pro B60
ASRock Intel Arc Pro B60 Creator 24GB
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Check price at Amazon (opens in a new tab)FAQ
Can the Arc Pro B60 run Qwen3.5 27B?
Yes: Qwen3.5 27B needs 17–20 GB (Q4_K_M, Ollama library) and the Arc Pro B60 gives the GPU 24 GB, leaving about 4 GB. That leaves room to raise the context above the 4096-token default. The fit bands are our estimate.
How much VRAM does Qwen3.5 27B need?
17–20 GB for the Q4_K_M build in the Ollama library, plus roughly 1–4 GB for context and runtime (our estimate). See the 24 GB page for other models that fit.
What command runs Qwen3.5 27B?
ollama run qwen3.5:27b. Then run "ollama ps" and check the PROCESSOR column reads 100% GPU.
How fast is Qwen3.5 27B on the Arc Pro B60?
We don't list a speed because we have no sourced measurement for this pairing. Speed depends on memory bandwidth, quantization and context length.