Q: What quantization of Llama 3.1 Nemotron 70B should I use on a Apple M4?

For 32 GB VRAM on the Apple M4, the Q4_K_M variant is the best fit. Estimated ~1 tokens/sec on the Q4_K_M quantization.

Q: How fast does Llama 3.1 Nemotron 70B run on Apple M4?

Roughly 1 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if Apple M4 is not enough for Llama 3.1 Nemotron 70B?

Consider upgrading to Apple M4 Pro (48 GB VRAM) which fits the recommended 48 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run Llama 3.1 Nemotron 70B on a Apple M4?

Accepted Answer

Sort of — Apple M4 can run Llama 3.1 Nemotron 70B (Q4_K_M) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (32 GB < 42 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of Llama 3.1 Nemotron 70B should I use on a Apple M4?

Accepted Answer

For 32 GB VRAM on the Apple M4, the Q4_K_M variant is the best fit. Estimated ~1 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Llama 3.1 Nemotron 70B run on Apple M4?

Accepted Answer

Roughly 1 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Apple M4 is not enough for Llama 3.1 Nemotron 70B?

Accepted Answer

Consider upgrading to Apple M4 Pro (48 GB VRAM) which fits the recommended 48 GB target. Or pick a smaller quantization to stay on your current card.

Can I Run Llama 3.1 Nemotron 70B on Apple M4?

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Every Llama 3.1 Nemotron 70B quantization on Apple M4

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