Models › Llama 3.3 70B Instruct › Apple M4 Max (128 GB)
Can I run Llama 3.3 70B Instruct on Apple M4 Max (128 GB)?
Yes
Yes. Llama 3.3 70B Instruct fits fully on the Apple M4 Max (128 GB) at Q8_0 (about 80.6 GB of 96 GB usable, 8k context). ESTIMATE
Verdict by quantization (8k context, f16 KV, 32 GB RAM for offload)
| Quant | Needs | Apple M4 Max (128 GB) (128 GB, ~96 GB GPU-usable) |
|---|---|---|
| Q3_K_M | 40.3 GB | ✅ Fits |
| IQ4_XS | 42.6 GB | ✅ Fits |
| Q4_K_M | 48.2 GB | ✅ Fits |
| MXFP4 | 46.2 GB | ✅ Fits |
| Q5_K_M | 55.9 GB | ✅ Fits |
| Q6_K | 63.5 GB | ✅ Fits |
| Q8_0 | 80.6 GB | ✅ Fits |
| F16 | 146.8 GB | ❌ Doesn't fit |
Speed ESTIMATE
About 6–7 tok/s generation at Q4_K_M, scaled from measured Llama 2 7B Q4_0 runs on this chip. Not measured for Llama 3.3 70B Instruct; submit a benchmark.
Memory figures are estimates from the model's parameter count and config.json (Hugging Face). How we calculate. Last verified with data from 2026-10-22.
FAQ
Can I run Llama 3.3 70B Instruct on the Apple M4 Max (128 GB)?
Yes. Llama 3.3 70B Instruct fits fully on the Apple M4 Max (128 GB) at Q8_0 (about 80.6 GB of 96 GB usable, 8k context).
How much VRAM does Llama 3.3 70B Instruct need?
About 48.2 GB at Q4_K_M and 80.6 GB at Q8_0 with 8k context (estimate).
Llama 3.3 70B Instruct on other hardware: Apple M3 Ultra (96 GB)
Other models on Apple M4 Max (128 GB): gpt-oss 20B (MoE) · gpt oss 120b (MoE) · Qwen3.6 27B · Qwen3.6 35B A3B (MoE) · Qwen3.8 27B · Gemma 4 31B · Gemma 4 26B A4B (MoE) · Qwen3 Coder 30B A3B (MoE) · GLM 4.7 Flash · Llama 3.1 8B Instruct · GLM 4.5 Air (MoE) · Mistral Medium 3.5 128B · NVIDIA Nemotron 3 Super 120B A12B (MoE) · Ornith 1.5 122B (MoE)
See all models for a 128GB Mac · all Mac sizes.
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