Can the Apple M5 Max (64 GB) run TMax 2B?

61 pts

Yes, it runs well

Runs well. At F16 it needs about 8.3 GB of 48.0 GB usable, with an estimated speed of 81.0 tok/s.

Best quant: F16
Generation speed: 81.0 tok/s
Prompt processing: 6,233 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 256K

Download TMax 2B

Original weights · Hugging Face

Full-precision files from Ai2, for fine-tuning, vLLM, Transformers.

huggingface.co/allenai/tmax-2b (opens in a new tab)

No sign-in needed.

Links checked 1 week 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.	4.0 / 15
Total	62.0 / 100	61 ptsGood (B) · 61 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.0/15

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`	5.3 GB	48.0 GB	567 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 2.5/15	All files (opens in a new tab)
`Q3_K_M`	5.5 GB	48.0 GB	446 tok/s	Runs well	57 ptsUsable (C) · 57 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 2.6/15	All files (opens in a new tab)
`Q4_K_M`	5.7 GB	48.0 GB	345 tok/s	Runs well	59 ptsGood (B) · 59 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 2.7/15	All files (opens in a new tab)
`Q5_K_M`	5.9 GB	48.0 GB	285 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 2.8/15	All files (opens in a new tab)
`Q6_K`	6.1 GB	48.0 GB	240 tok/s	Runs well	60 ptsGood (B) · 60 of 100 points: Model quality 17.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 2.9/15	All files (opens in a new tab)
`Q8_0`	6.5 GB	48.0 GB	176 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 3.1/15	All files (opens in a new tab)
`F16`	8.3 GB	48.0 GB	81.0 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.0/15	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

72 ptsGreat (A) · 72 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.0/15 NVIDIA GeForce RTX 4060 F16 · 41.7 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.7/15 Intel Arc B580 F16 · 53.4 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.7/15 NVIDIA GeForce RTX 3060 12GB F16 · 55.1 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.7/15 NVIDIA GeForce RTX 4070 SUPER F16 · 77.2 tok/s
65 ptsGood (B) · 65 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.6/15 AMD Radeon RX 9070 XT F16 · 84.4 tok/s
65 ptsGood (B) · 65 of 100 points: Model quality 18.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.6/15 NVIDIA GeForce RTX 4060 Ti 16GB F16 · 44.1 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.