Can the Apple M3 Max (64GB) run gpt-oss 120B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. gpt-oss 120B fits on the Apple M3 Max (64GB) at Q2_K, which costs noticeable quality. Expect about 125 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default gpt-oss:120b download is Q4_K_M, which needs about 72 GB, more than the 48 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
Run it in the cloud
Want full quality? Run gpt-oss 120B on a bigger rented GPU.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 48 GB the Apple M3 Max (64GB) can use. macOS lets the GPU use about 48 GB of the 64 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 234.8 GB | Too big | — | |
| Q8_0 | Near-lossless | 125.3 GB | Too big | — | |
| Q6_K | Excellent | 97 GB | Too big | — | |
| Q5_K_M | Very good | 84.3 GB | Too big | — | |
| Q4_K_M | Good, most popular | 72 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 58.3 GB | Too big | — | |
| Q2_K | Heavily degraded | 45 GB | Fits | ~125 tok/s |
GPUs that run gpt-oss 120B comfortably
Models that run well on the Apple M3 Max (64GB)
Frequently asked questions
Can Apple M3 Max (64GB) run gpt-oss 120B?
Only just. gpt-oss 120B fits on the Apple M3 Max (64GB) at Q2_K, which costs noticeable quality. Expect about 125 tokens/second. A card with more memory is a better experience.
How much VRAM does gpt-oss 120B need?
About 72 GB at Q4_K_M with 8,192 tokens of context, and about 234.8 GB at full FP16 precision.
How fast is gpt-oss 120B on the Apple M3 Max (64GB)?
Roughly 125 tokens per second at Q2_K, estimated from the Apple M3 Max (64GB)'s 400 GB/s memory bandwidth.