Can the Apple M3 Max (64GB) run gpt-oss 20B?

Apple M3 Max (64GB) × gpt-oss 20B8K context
YesRuns fully on the GPU
Memory at FP1642.8 GB of 48 GB
Weights 41.8 GBKV cache 0.4 GBRuntime 0.6 GB
QuantFP16Full quality
Memory42.8 GBof 48 GB usable
Speed~33tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. 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:20b

Ollama'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.

QuantQualityMemoryFits?Speed
FP16Full quality42.8 GBFits~33 tok/s
Q8_0Near-lossless23.2 GBFits~63 tok/s
Q6_KExcellent18.1 GBFits~81 tok/s
Q5_K_MVery good15.9 GBFits~94 tok/s
Q4_K_MGood, most popular13.7 GBFits~110 tok/s
Q3_K_MNoticeably degraded11.2 GBFits~136 tok/s
Q2_KHeavily degraded8.8 GBFits~178 tok/s

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.