on

Can the AMD Radeon PRO W7700 run CogVideoX 5B?

73 ptsGreat (A) · 73 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 11.2/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At FP8 it needs about 14.3 GB of 16.0 GB usable, with an estimated speed of 5.4 min.

Best precision
FP8
Memory mode
Everything on GPU
Time per clip
5.4 min
Output
720×480, 49 frames, 50 steps

Download CogVideoX 5B

Original weights · Hugging Face

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

huggingface.co/zai-org/CogVideoX-5b (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/zai-org/CogVideo (opens in a new tab)

git clone https://github.com/zai-org/CogVideo

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.24.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.23.0 / 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.15.0 / 15
Total73.5 / 10073 ptsGreat (A) · 73 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 11.2/15, Memory use 15.0/15

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

Every precision on the AMD Radeon PRO W7700

Precision Memory needed Available Time per output Memory mode Fit Grade · points Download
FP16 14.6 GB 16.0 GB 6.3 min Text encoder offloaded Tight fit 68 ptsGood (B) · 68 of 100 points: Model quality 24.8/45, Memory fit 18.0/25, Speed 10.4/15, Memory use 15.0/15 Original weights (opens in a new tab)
FP8 14.3 GB 16.0 GB 5.4 min Everything on GPU Tight fit 73 ptsGreat (A) · 73 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 11.2/15, Memory use 15.0/15 Original weights (opens in a new tab)

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.