Can I run Qwen2.5 32B on Apple M4 Pro (48GB)?
Yes: Qwen2.5 32B runs on Apple M4 Pro (48GB) with Q6_K at roughly 6 tokens/s. Estimated memory 28.3 GiB at 8,192 tokens of context.
With Q6_K you can push the context to about 23,552 tokens before memory runs out (F16 KV cache).
Memory by quantisation (8,192-token context)
| Quantisation | Memory | Verdict | Est. speed |
|---|---|---|---|
| F16Unquantized reference | 64.3 GiB | Needs CPU offload | — |
| Q8_0Near-lossless | 35.7 GiB | Tight | ~5 tok/s |
| Q6_KVery close to F16 | 28.3 GiB | Fits | ~6 tok/s |
| Q5_K_MGreat quality/size | 25.0 GiB | Fits | ~7 tok/s |
| Q4_K_MBest default for most | 21.8 GiB | Fits | ~8 tok/s |
| IQ4_XSSmaller 4-bit (imatrix) | 19.5 GiB | Fits | ~9 tok/s |
| Q3_K_MNoticeable loss | 18.2 GiB | Fits | ~10 tok/s |
| Q2_KLast resort; big loss | 16.1 GiB | Fits | ~11 tok/s |
Apple M4 Pro (48GB) offers about 48 GiB of memory (75% usable for a model) at 273 GB/s. Speed is a bandwidth-bound estimate of single-stream generation at 65% efficiency; real results vary by runtime, drivers and settings, so measure on your machine.
How this is calculated
Weights ≈ parameters × bits per weight ÷ 8. KV cache ≈ 2 × 64 layers × 8 KV heads × 128 head dim × 2 bytes per token. Decode speed ≈ efficiency × memory bandwidth ÷ bytes read per token. Learn the maths in VRAM math and memory bandwidth, or try the VRAM calculator.
Qwen2.5 32B on other hardware
Similar models on Apple M4 Pro (48GB)
Running slowly or out of memory? See CUDA out of memory and the quantisation lesson.