CogVideoX 5B on NVIDIA Jetson Orin NX 16GB (16 GB)

Can the NVIDIA Jetson Orin NX 16GB (16 GB) run CogVideoX 5B?

64 pts

Yes, it runs well

Runs well. At FP8 it needs about 9.6 GB of 13.6 GB usable, with an estimated speed of 28.5 min.

Best precision: FP8
Memory mode: Text encoder offloaded
Time per clip: 28.5 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

Links checked 6 days 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.	24.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	20.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	4.9 / 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
Total	64.1 / 100	64 ptsGood (B) · 64 of 100 points: Model quality 24.3/45, Memory fit 20.0/25, Speed 4.9/15, 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 NVIDIA Jetson Orin NX 16GB (16 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	7.7 GB	13.6 GB	39.3 min	Sequential CPU offload	Runs well	53 ptsUsable (C) · 53 of 100 points: Model quality 24.8/45, Memory fit 12.0/25, Speed 4.1/15, Memory use 13.0/15	Original weights (opens in a new tab)
`FP8`	9.6 GB	13.6 GB	28.5 min	Text encoder offloaded	Runs well	64 ptsGood (B) · 64 of 100 points: Model quality 24.3/45, Memory fit 20.0/25, Speed 4.9/15, Memory use 15.0/15	Original weights (opens in a new tab)

Other hardware that runs it

79 ptsGreat (A) · 79 of 100 points: Model quality 24.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 FP16 · 2.5 min
78 ptsGreat (A) · 78 of 100 points: Model quality 24.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.8/15 NVIDIA GeForce RTX 4090 FP8 · 2.7 min
78 ptsGreat (A) · 78 of 100 points: Model quality 24.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.8/15 AMD Radeon RX 7900 XTX FP8 · 3.0 min
75 ptsGreat (A) · 75 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 13.7/15, Memory use 15.0/15 AMD Radeon RX 9070 XT FP8 · 3.6 min
75 ptsGreat (A) · 75 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 13.7/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 FP8 · 3.6 min
75 ptsGreat (A) · 75 of 100 points: Model quality 24.3/45, Memory fit 23.0/25, Speed 13.3/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER FP8 · 3.8 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.