← CanIRunLocal · All hardware · All models
Yes. Qwen3-Next 80B-A3B (MoE) fits in fast memory on Mac Studio M4 Max (40c GPU) 128GB at Q8_0 (87.3 GB needed, 96.0 GB usable), about 69 tok/s (estimate).
Hardware: Mac Studio M4 Max (40c GPU) 128GB · Model: Qwen3-Next 80B-A3B (MoE)
Mac Studio M4 Max (40c GPU) 128GB has 128 GB of unified memory and 546 GB/s of memory bandwidth. M4 Max (40c GPU) 128GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M4 Max (40c GPU) 128GB. The checker leaves macOS a share of unified memory, so Ollama can use 96.0 GB. Qwen3-Next 80B-A3B (MoE) (80B, 3B active, Alibaba) at Q8_0 is a 85 GB download and needs 87.3 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 85 GB |
| Memory needed | 87.3 GB |
| Usable fast memory | 96.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~69 tok/s (estimate) |
| Command | ollama run qwen3-next:80b-a3b-instruct-q8_0 |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt