# Can I run gpt-oss 120B on Apple M2 (16GB)?

> **No, not enough memory.** Needs ~62.4 GB even at Q4_K_M, but only ~10.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- gpt-oss 120B: 117B (MoE, 5.1B active); Q4_K_M weighs 59.03 GB on disk.
- At Q4_K_M with a 4k context it needs ~62.4 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M2 (16GB): 16 GB unified, ~10.5 GB usable for model weights.
- Headroom: ~-51.9 GB.

## How to run
Recommended quant: n/a. Best tool on macOS: LM Studio.

```sh
ollama run gpt-oss:120b
```

## Run gpt-oss 120B on other devices
- [Apple M4 Max (128GB)](https://localmodel.run/can-i-run/gpt-oss-120b/apple-m4-max-128gb)
- [Apple M5 Max (128GB)](https://localmodel.run/can-i-run/gpt-oss-120b/apple-m5-max-128gb)
- [Apple M3 Ultra (256GB)](https://localmodel.run/can-i-run/gpt-oss-120b/apple-m3-ultra-256gb)

## Other models that run on Apple M2 (16GB)
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/apple-m2-16gb)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/apple-m2-16gb)
- [Gemma 3 12B (12B)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m2-16gb)
- [Llama 3.2 Vision 11B (10.7B)](https://localmodel.run/can-i-run/llama-3.2-vision-11b/apple-m2-16gb)
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/apple-m2-16gb)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/apple-m2-16gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/gpt-oss, https://ollama.com/library/gpt-oss/tags, https://huggingface.co/ggml-org/gpt-oss-120b-GGUF, https://huggingface.co/openai/gpt-oss-120b.
More: https://localmodel.run/can-i-run/gpt-oss-120b/apple-m2-16gb