Yes — Llama 3.3 70B (70B) runs at 12 tok/s on M5 Max with 128 GB RAM using Q4_K_M quantization via Ollama. First token latency is 2.8s. Meta's 70B Llama 3.3 model for Macs with 64–128 GB RAM.
LLMCheck measured Llama 3.3 70B on M5 Max using the standard methodology: Q4_K_M quantization, 256-token input, 512-token output, 3 runs averaged on a freshly-booted system.
| Metric | Value |
|---|---|
| Tokens per second | 12 tok/s |
| Time to first token | 2.8s |
| Quantization | Q4_K_M |
| Minimum RAM | 128 GB |
| Recommended engine | Ollama |
| Parameters | 70B |
| Benchmark date | 2026-03 |
Q4_K_M 70B Ollama M5 Max
The recommended engine for Llama 3.3 70B on M5 Max is Ollama. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the Q4_K_M variant (~128 GB) and start an interactive chat session.
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 18 tok/s | 2.0s | 192 GB | MLX |
To run Llama 3.3 70B on M5 Max you need:
See how Llama 3.3 70B stacks up against other models on your specific Mac hardware.
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