HunyuanVideo 1.5 (8.3B) on Apple M2 Pro (32 GB)

Can the Apple M2 Pro (32 GB) run HunyuanVideo 1.5 (8.3B)?

11 pts

No, it doesn’t fit

No. HunyuanVideo 1.5 (8.3B) needs about 23.9 GB even at FP8; the Apple M2 Pro (32 GB) has 21.4 GB usable.

Download HunyuanVideo 1.5 (8.3B)

Original weights · Hugging Face

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

huggingface.co/tencent/HunyuanVideo-1.5 (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/HunyuanVideo-1.5 (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5

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

How the F 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.	11.1 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	11.1 / 100	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

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

Every precision on the Apple M2 Pro (32 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	26.8 GB	21.4 GB	—	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`FP8`	23.9 GB	21.4 GB	—	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Hardware that can run it

81 ptsGreat (A) · 81 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 5.5/15, Memory use 13.3/15 NVIDIA RTX PRO 6000 Blackwell FP16 · 22.0 min
79 ptsGreat (A) · 79 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 3.4/15, Memory use 13.3/15 AMD Ryzen AI Max+ 395 (128 GB) FP16 · 57.6 min
79 ptsGreat (A) · 79 of 100 points: Model quality 37.0/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 15.0/15 Apple M4 Max (64 GB) FP8 · 2.6 h
78 ptsGreat (A) · 78 of 100 points: Model quality 37.0/45, Memory fit 25.0/25, Speed 1.7/15, Memory use 15.0/15 Apple M1 Max (64 GB) FP8 · 4.0 h
78 ptsGreat (A) · 78 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 2.0/15, Memory use 13.3/15 Apple M4 Max (128 GB) FP16 · 2.9 h
77 ptsGreat (A) · 77 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 3.3/15, Memory use 11.1/15 NVIDIA GB10 (128 GB) FP16 · 62.6 min

Models that do run on the Apple M2 Pro (32 GB)

70 ptsGood (B) · 70 of 100 points: Model quality 22.1/45, Memory fit 25.0/25, Speed 12.1/15, Memory use 11.6/15 LTX-Video 2B FP8 · 4.6 min
70 ptsGood (B) · 70 of 100 points: Model quality 31.0/45, Memory fit 23.0/25, Speed 1.7/15, Memory use 15.0/15 Wan 2.1 I2V 14B 480P Q4 GGUF · 3.7 h
68 ptsGood (B) · 68 of 100 points: Model quality 24.3/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 15.0/15 CogVideoX 5B FP8 · 33.4 min
68 ptsGood (B) · 68 of 100 points: Model quality 24.3/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 15.0/15 CogVideoX 5B I2V FP8 · 33.4 min
68 ptsGood (B) · 68 of 100 points: Model quality 32.6/45, Memory fit 18.0/25, Speed 2.9/15, Memory use 15.0/15 FramePack I2V (HunyuanVideo 13B) FP8 · 77.9 min

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.