Hunyuan A13B (80B-A13B) on Apple M4 Max (128 GB)

Can the Apple M4 Max (128 GB) run Hunyuan A13B (80B-A13B)?

81 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 58.4 GB of 96.0 GB usable, with an estimated speed of 22.2 tok/s.

Best quant: Q4_K_M
Generation speed: 22.2 tok/s
Prompt processing: 878 tok/s
First token (1K prompt): 1.2 s
Largest safe context: 32K

Download Hunyuan A13B (80B-A13B)

Recommended for the Apple M4 Max (128 GB): Q4_K_M. 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 Q4_K_M file (opens in a new tab)

huggingface.co/tencent/Hunyuan-A13B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/tencent/Hunyuan-A13B-Instruct-GGUF:Q4_K_M

Original weights · Hugging Face

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

huggingface.co/tencent/Hunyuan-A13B-Instruct (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Tencent. The weights themselves download from Hugging Face.

github.com/Tencent-Hunyuan/Hunyuan-A13B (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/Hunyuan-A13B

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the A 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.	31.6 / 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.	11.2 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	14.0 / 15
Total	81.8 / 100	81 ptsGreat (A) · 81 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 14.0/15

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

Every quantization on the Apple M4 Max (128 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	41.5 GB	96.0 GB	36.5 tok/s	Runs well	72 ptsGreat (A) · 72 of 100 points: Model quality 23.3/45, Memory fit 25.0/25, Speed 14.3/15, Memory use 10.0/15	GGUF files (opens in a new tab)
`Q3_K_M`	48.7 GB	96.0 GB	28.7 tok/s	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 28.0/45, Memory fit 25.0/25, Speed 12.7/15, Memory use 11.7/15	GGUF files (opens in a new tab)
`Q4_K_M`	58.4 GB	96.0 GB	22.2 tok/s	Runs well	81 ptsGreat (A) · 81 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 14.0/15	GGUF (opens in a new tab)
`Q5_K_M`	66.4 GB	96.0 GB	18.3 tok/s	Runs well	82 ptsGreat (A) · 82 of 100 points: Model quality 32.3/45, Memory fit 25.0/25, Speed 10.2/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q6_K`	75.3 GB	96.0 GB	15.4 tok/s	Runs well	82 ptsGreat (A) · 82 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 9.3/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q8_0`	94.6 GB	96.0 GB	11.3 tok/s	Tight fit	80 ptsGreat (A) · 80 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 8.0/15, Memory use 15.0/15	GGUF · part 1 of 2 (opens in a new tab)
`F16`	170 GB	96.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 10.0/45, 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

87 ptsExcellent (S) · 87 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q6_K · 58.7 tok/s
80 ptsGreat (A) · 80 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 13.5/15, Memory use 10.0/15 Apple M2 Ultra (192 GB) Q4_K_M · 32.5 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 12.7/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q3_K_M · 28.7 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 6.4/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q6_K · 7.2 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 13.7/15, Memory use 7.9/15 Apple M3 Ultra (256 GB) Q4_K_M · 33.3 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.