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Can the Apple M5 Max (64 GB) run Unlimited OCR (3B-A0.6B)?

63 ptsGood (B) · 63 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15

Yes, it runs well

Runs well. At F16 it needs about 11.6 GB of 48.0 GB usable, with an estimated speed of 127 tok/s.

Best quant
F16
Generation speed
127 tok/s
Prompt processing
19,530 tok/s
First token (1K prompt)
0.3 s
Largest safe context
32K

Download Unlimited OCR (3B-A0.6B)

Original weights · Hugging Face

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

huggingface.co/baidu/Unlimited-OCR (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the B 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.18.0 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.5.6 / 15
Total63.6 / 10063 ptsGood (B) · 63 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15

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

Every quantization on the Apple M5 Max (64 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 6.3 GB 48.0 GB 888 tok/s Runs well 55 ptsUsable (C) · 55 of 100 points: Model quality 12.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.0/15 All files (opens in a new tab)
Q3_K_M 6.6 GB 48.0 GB 699 tok/s Runs well 58 ptsGood (B) · 58 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.2/15 All files (opens in a new tab)
Q4_K_M 7.0 GB 48.0 GB 541 tok/s Runs well 60 ptsGood (B) · 60 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.4/15 All files (opens in a new tab)
Q5_K_M 7.3 GB 48.0 GB 447 tok/s Runs well 60 ptsGood (B) · 60 of 100 points: Model quality 17.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.5/15 All files (opens in a new tab)
Q6_K 7.7 GB 48.0 GB 375 tok/s Runs well 61 ptsGood (B) · 61 of 100 points: Model quality 17.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.7/15 All files (opens in a new tab)
Q8_0 8.5 GB 48.0 GB 275 tok/s Runs well 62 ptsGood (B) · 62 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.1/15 All files (opens in a new tab)
F16 11.6 GB 48.0 GB 127 tok/s Runs well 63 ptsGood (B) · 63 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15 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

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.