HomeCan I run it?Qwen3.8-27BQwen3.8-27B on a Mac mini 32GB
Yes. Qwen3.8-27B at Q4_K_M needs about 20.4 GB, and the Mac mini M6 32GB has 24.0 GB usable at a ~4k context.
Can I run Qwen3.8-27B on a Mac mini 32GB?
Qwen3.8-27B at Q4_K_M needs about 20.4 GB, and the Mac mini M6 32GB has 24.0 GB usable. That figure is 32 GB of unified memory on the spec sheet, of which 24.0 GB is usable for weights and cache, at 170 GB/s memory bandwidth. Alibaba’s denser Qwen3.8 27B, a newer mid-size chat model in the same memory class as Gemma 3 27B. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- Q4_K_M Fits with headroom
- Memory needed
- 20.4 GB at Q4_K_M, ~4k context
- Usable unified memory
- 24.0 GB of 32 GB unified memory
- Est. tokens/sec
- 5–8 estimate
Memory at each quant
| Quant | Need vs 24.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 20.4 GB | Q4Fits |
| Q8_0 | 34.9 GB | Q8Won’t fit |
| FP16 | 64.9 GB | FP16Won’t fit |
Estimated tokens per second
Estimate: 5–8 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 45–80% unified-memory band from How we calculate.
Context headroom
At Q4_K_M, this machine has headroom out to about 32k 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 | 0.3 GB | 20.4 GB | Fits |
| 8k | 0.5 GB | 20.6 GB | Fits |
| 16k | 1.1 GB | 21.2 GB | Fits |
| 32k | 2.1 GB | 22.2 GB | Tight |
| 64k | 4.3 GB | 24.4 GB | Won’t fit |
| 128k | 8.6 GB | 28.7 GB | Won’t fit |
What to do instead
- Q8_0 needs 34.9 GB and does not fit here. The Mac mini M5 Pro 64GB has 48.0 GB usable, enough for Q8.
- See the best GPU for this model family and the Qwen3.8-27B model page.
Other hardware for Qwen3.8-27B
- Qwen3.8-27B on an RTX 3060 12GBWon’t fit
- Qwen3.8-27B on an RTX 3070 TiWon’t fit
- Qwen3.8-27B on an RTX 3080Won’t fit
- Qwen3.8-27B on an RTX 3090Fits
- Qwen3.8-27B on an RTX 4060 Ti 16GBWon’t fit
- Qwen3.8-27B on an RTX 4070 Ti SuperWon’t fit
Other models on a Mac mini 32GB
- Qwen3-32B on a Mac mini 32GBTight
- Qwen3-30B-A3B on a Mac mini 32GBTight
- Gemma 3 27B on a Mac mini 32GBFits
- Gemma 4 31B on a Mac mini 32GBTight
- gpt-oss-20b on a Mac mini 32GBFits
- Mistral Small 24B on a Mac mini 32GBFits
Quick answers
- Can I run Qwen3.8-27B on a Mac mini 32GB?
- Yes. Qwen3.8-27B at Q4_K_M needs about 20.4 GB, and the Mac mini M6 32GB has 24.0 GB usable.
- How much VRAM does Qwen3.8-27B need?
- About 20.4 GB at Q4_K_M, 34.9 GB at Q8_0 and 64.9 GB at FP16, estimated for a ~4k context.
- How fast is Qwen3.8-27B on a Mac mini 32GB?
- Our estimate is 5–8 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 32k tokens before the cache pushes the total over usable memory.