HomeCan I run it?Qwen3-14BQwen3-14B on an Arc B580
Yes, but it is tight. Qwen3-14B at Q4_K_M needs about 11.3 GB, and the Intel Arc B580 has 12.0 GB usable at a ~4k context.
Can I run Qwen3-14B on an Arc B580?
Qwen3-14B at Q4_K_M needs about 11.3 GB, and the Intel Arc B580 has 12.0 GB usable. That figure is 12 GB of VRAM on the spec sheet, of which 12.0 GB is usable for weights and cache, at 456 GB/s memory bandwidth. Alibaba’s 14B Qwen3. It sits in the sweet spot for 12–16 GB cards that want more quality than an 8B. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- Q4_K_M Fits, short context only
- Memory needed
- 11.3 GB at Q4_K_M, ~4k context
- Usable VRAM
- 12.0 GB of 12 GB VRAM
- Est. tokens/sec
- 31–43 estimate
Memory at each quant
| Quant | Need vs 12.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 11.3 GB | Q4Tight |
| Q8_0 | 19.0 GB | Q8Won’t fit |
| FP16 | 35.0 GB | FP16Won’t fit |
Estimated tokens per second
Estimate: 31–43 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.
Context headroom
At Q4_K_M, this machine has headroom out to about 8k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.
| Context | KV cache (FP16) | Total at Q4_K_M | Verdict |
|---|---|---|---|
| 4k | 0.7 GB | 11.3 GB | Tight |
| 8k | 1.3 GB | 12.0 GB | Tight |
| 16k | 2.7 GB | 13.3 GB | Won’t fit |
| 32k | 5.4 GB | 16.0 GB | Won’t fit |
| 64k | 10.7 GB | 21.4 GB | Won’t fit |
| 128k | 21.5 GB | 32.1 GB | Won’t fit |
What to do instead
- Run Phi-4 instead (11.2 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
- Q8_0 needs 19.0 GB and does not fit here. The Radeon RX 7900 XT has 20.0 GB usable, enough for Q8.
- See the best GPU for this model family and the Qwen3-14B model page.
Other hardware for Qwen3-14B
- Qwen3-14B on an RTX 3060 12GBTight
- Qwen3-14B on an RTX 3070 TiWon’t fit
- Qwen3-14B on an RTX 3080Won’t fit
- Qwen3-14B on an RTX 4060 Ti 16GBFits
- Qwen3-14B on an RTX 4070 Ti SuperFits
- Qwen3-14B on an RTX 4090Fits
Other models on an Arc B580
- Qwen3-32B on an Arc B580Won’t fit
- Qwen3-30B-A3B on an Arc B580Won’t fit
- Qwen3.8-27B on an Arc B580Won’t fit
- Gemma 3 27B on an Arc B580Won’t fit
- Gemma 4 31B on an Arc B580Won’t fit
- gpt-oss-20b on an Arc B580Won’t fit
Quick answers
- Can I run Qwen3-14B on an Arc B580?
- Yes, but it is tight. Qwen3-14B at Q4_K_M needs about 11.3 GB, and the Intel Arc B580 has 12.0 GB usable.
- How much VRAM does Qwen3-14B need?
- About 11.3 GB at Q4_K_M, 19.0 GB at Q8_0 and 35.0 GB at FP16, estimated for a ~4k context.
- How fast is Qwen3-14B on an Arc B580?
- Our estimate is 31–43 tokens per second at Q4_K_M. It is not a measured benchmark.
- What context length can I use?
- At Q4_K_M, our KV estimate supports up to about 8k tokens before the cache pushes the total over usable memory.