Command R+ 104B (04-2024) on Apple M4 Max (64 GB)

Can the Apple M4 Max (64 GB) run Command R+ 104B (04-2024)?

51 pts

Yes, with part of the model in system RAM

Runs with offload. At Q2_K it needs about 48.1 GB of 48.0 GB usable, with an estimated speed of 7.8 tok/s.

Best quant: Q2_K
Generation speed: 7.8 tok/s
Prompt processing: 110 tok/s
First token (1K prompt): 9.3 s
Largest safe context: 7K

Download Command R+ 104B (04-2024)

Recommended for the Apple M4 Max (64 GB): Q2_K. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K file (opens in a new tab)

huggingface.co/bartowski/c4ai-command-r-plus-GGUF (opens in a new tab)

ollama run hf.co/bartowski/c4ai-command-r-plus-GGUF:Q2_K

Original weights · Hugging Face

Full-precision files from Cohere, for fine-tuning, vLLM, Transformers.

huggingface.co/CohereLabs/c4ai-command-r-plus (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the C grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	20.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	10.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	6.6 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	51.8 / 100	51 ptsUsable (C) · 51 of 100 points: Model quality 20.2/45, Memory fit 10.0/25, Speed 6.6/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M4 Max (64 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	48.1 GB	48.0 GB	7.8 tok/s	Runs with offload	51 ptsUsable (C) · 51 of 100 points: Model quality 20.2/45, Memory fit 10.0/25, Speed 6.6/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q3_K_M`	57.5 GB	48.0 GB	6.1 tok/s	Heavy offload	49 ptsUsable (C) · 49 of 100 points: Model quality 24.2/45, Memory fit 4.0/25, Speed 5.9/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q4_K_M`	69.9 GB	48.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q5_K_M`	80.3 GB	48.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q6_K`	91.7 GB	48.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q8_0`	117 GB	48.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`F16`	214 GB	48.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

78 ptsGreat (A) · 78 of 100 points: Model quality 27.4/45, Memory fit 25.0/25, Speed 10.9/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q4_K_M · 21.2 tok/s
74 ptsGreat (A) · 74 of 100 points: Model quality 28.5/45, Memory fit 25.0/25, Speed 5.6/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q6_K · 5.7 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 27.4/45, Memory fit 25.0/25, Speed 5.6/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q4_K_M · 5.6 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 28.5/45, Memory fit 25.0/25, Speed 3.5/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q6_K · 2.2 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 28.5/45, Memory fit 25.0/25, Speed 5.7/15, Memory use 12.4/15 Apple M3 Ultra (256 GB) Q6_K · 5.8 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 27.4/45, Memory fit 25.0/25, Speed 3.8/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q4_K_M · 2.6 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.