Can the Apple M3 Max (64GB) run gpt-oss 20B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The Apple M3 Max (64GB) can run gpt-oss 20B fully in unified memory at FP16 (full quality), using about 42.8 GB of the 48 GB available, at roughly 33 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts gpt-oss 20B:
ollama run gpt-oss:20bOllama's default download is Q4_K_M (about 13.7 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No Apple M3 Max (64GB)? Run gpt-oss 20B in the cloud.
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 | 42.8 GB | Fits | ~33 tok/s | |
| Q8_0 | Near-lossless | 23.2 GB | Fits | ~63 tok/s | |
| Q6_K | Excellent | 18.1 GB | Fits | ~81 tok/s | |
| Q5_K_M | Very good | 15.9 GB | Fits | ~94 tok/s | |
| Q4_K_M | Good, most popular | 13.7 GB | Fits | ~110 tok/s | |
| Q3_K_M | Noticeably degraded | 11.2 GB | Fits | ~136 tok/s | |
| Q2_K | Heavily degraded | 8.8 GB | Fits | ~178 tok/s |
GPUs that run gpt-oss 20B comfortably
Models that run well on the Apple M3 Max (64GB)
Frequently asked questions
Can Apple M3 Max (64GB) run gpt-oss 20B?
Yes. The Apple M3 Max (64GB) can run gpt-oss 20B fully in unified memory at FP16 (full quality), using about 42.8 GB of the 48 GB available, at roughly 33 tokens/second.
How much VRAM does gpt-oss 20B need?
About 13.7 GB at Q4_K_M with 8,192 tokens of context, and about 42.8 GB at full FP16 precision.
How fast is gpt-oss 20B on the Apple M3 Max (64GB)?
Roughly 33 tokens per second at FP16, estimated from the Apple M3 Max (64GB)'s 400 GB/s memory bandwidth.