Qwen on Intel Battlemage
Can I run Qwen2.5 72B on an Arc B580?
Not at Q4_K_M — it needs 44.6 GB against 10.5 GB available. You would need 5 of these cards.
Won't fit
44.6 GB of 10.5 GB · 426%046 GB
Weights
41.2 GB
KV cache
2.5 GB
Runtime overhead
0.9 GB
Over the limit
34.2 GB
Short by 34.2 GB. You can run it with 13 of 80 layers on the Arc B580 and the rest in system RAM, at roughly 0.89 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.
Generation0.89tok/s
Prompt processing133tok/s
Max context0tokens
KV per 1K tokens0GB
Every quantisation of Qwen2.5 72B on a Arc B580
Highlighted row is the highest quality that still fits at 8K context.
| Quantisation | bpw | Weights | Total | Verdict | Max ctx | tok/s |
|---|---|---|---|---|---|---|
| FP16 / BF16 | 16.00 | 135.4 GB | 138.8 GB | Won't fit | — | 0.25 |
| INT8 / W8A8 | 8.50 | 71.4 GB | 74.8 GB | Won't fit | — | 0.48 |
| Q8_0 (GGUF) | 8.50 | 71.4 GB | 74.8 GB | Won't fit | — | 0.48 |
| FP8 (E4M3) | 8.00 | 67.7 GB | 71.1 GB | Won't fit | — | 0.51 |
| Q6_K | 6.56 | 55.5 GB | 58.9 GB | Won't fit | — | 0.64 |
| Q5_K_M | 5.67 | 48.0 GB | 51.4 GB | Won't fit | — | 0.75 |
| Q5_K_S | 5.52 | 46.7 GB | 50.1 GB | Won't fit | — | 0.78 |
| Q4_K_M | 4.85 | 41.2 GB | 44.6 GB | Won't fit | — | 0.89 |
| AWQ 4-bit | 4.25 | 39.4 GB | 42.8 GB | Won't fit | — | 0.94 |
| GPTQ 4-bit | 4.25 | 39.4 GB | 42.8 GB | Won't fit | — | 0.94 |
| MXFP4 | 4.25 | 39.4 GB | 42.8 GB | Won't fit | — | 0.94 |
| Q4_K_S | 4.58 | 39.0 GB | 42.4 GB | Won't fit | — | 0.95 |
| Q4_0 | 4.55 | 38.8 GB | 42.2 GB | Won't fit | — | 0.95 |
| IQ4_XS | 4.25 | 36.3 GB | 39.7 GB | Won't fit | — | 1.03 |
| Q3_K_M | 3.91 | 33.6 GB | 36.9 GB | Won't fit | — | 1.12 |
| IQ3_M | 3.70 | 31.8 GB | 35.2 GB | Won't fit | — | 1.20 |
| IQ3_XXS | 3.06 | 26.6 GB | 30.0 GB | Won't fit | — | 1.50 |
| Q2_K | 2.63 | 23.1 GB | 26.5 GB | Won't fit | — | 1.79 |
| IQ2_XXS | 2.06 | 18.4 GB | 21.8 GB | Won't fit | — | 2.43 |
| IQ1_M | 1.75 | 15.9 GB | 19.3 GB | Won't fit | — | 3.03 |