Can the Apple M2 Pro (32GB) run Mistral 7B v0.3?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The Apple M2 Pro (32GB) can run Mistral 7B v0.3 fully in unified memory at FP16 (full quality), using about 16.2 GB of the 21.4 GB available, at roughly 8 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Mistral 7B v0.3:
ollama run mistral:7bOllama's default download is Q4_K_M (about 6.1 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
New to this? Step-by-step setup for the Apple M2 Pro (32GB)
Run it in the cloud
No Apple M2 Pro (32GB)? Run Mistral 7B v0.3 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 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 16.2 GB | Fits | ~8 tok/s | |
| Q8_0 | Near-lossless | 9.4 GB | Fits | ~16 tok/s | |
| Q6_K | Excellent | 7.6 GB | Fits | ~20 tok/s | |
| Q5_K_M | Very good | 6.8 GB | Fits | ~23 tok/s | |
| Q4_K_M | Good, most popular | 6.1 GB | Fits | ~27 tok/s | |
| Q3_K_M | Noticeably degraded | 5.2 GB | Fits | ~34 tok/s | |
| Q2_K | Heavily degraded | 4.4 GB | Fits | ~44 tok/s |
GPUs that run Mistral 7B v0.3 comfortably
Frequently asked questions
Can Apple M2 Pro (32GB) run Mistral 7B v0.3?
Yes. The Apple M2 Pro (32GB) can run Mistral 7B v0.3 fully in unified memory at FP16 (full quality), using about 16.2 GB of the 21.4 GB available, at roughly 8 tokens/second.
How much VRAM does Mistral 7B v0.3 need?
About 6.1 GB at Q4_K_M with 8,192 tokens of context, and about 16.2 GB at full FP16 precision.
How fast is Mistral 7B v0.3 on the Apple M2 Pro (32GB)?
Roughly 8 tokens per second at FP16, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.