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Can the Apple M1 Max (64 GB) run Hunyuan A13B (80B-A13B)?

77 ptsGreat (A) · 77 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 10.9/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 44.9 GB of 48.0 GB usable, with an estimated speed of 21.0 tok/s.

Best quant
Q3_K_M
Generation speed
21.0 tok/s
Prompt processing
496 tok/s
First token (1K prompt)
2.1 s
Largest safe context
31K

Download Hunyuan A13B (80B-A13B)

Quantized files · GGUF

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

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

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

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 5 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.28.0 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.10.9 / 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
Total77.8 / 10077 ptsGreat (A) · 77 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 10.9/15, 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 M1 Max (64 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 37.7 GB 48.0 GB 26.7 tok/s Runs well 75 ptsGreat (A) · 75 of 100 points: Model quality 23.3/45, Memory fit 25.0/25, Speed 12.3/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q3_K_M 44.9 GB 48.0 GB 21.0 tok/s Tight fit 77 ptsGreat (A) · 77 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 10.9/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q4_K_M 54.6 GB 48.0 GB 13.8 tok/s Heavy offload 59 ptsGood (B) · 59 of 100 points: Model quality 31.6/45, Memory fit 4.0/25, Speed 8.8/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q5_K_M 62.6 GB 48.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q6_K 71.4 GB 48.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q8_0 90.7 GB 48.0 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 GGUF · part 1 of 2 (opens in a new tab)
F16 166 GB 48.0 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

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.