Can NVIDIA GeForce RTX 4060 Ti 8GB run CogVideoX-5B?

5B parameter Video Gen model on 8GB GDDR6

Yes — runs at 4-bit quantization
~0.2-0.3 clips/min
SpeedModerate speed, usable for interactive chat
QualityGood quality with slight degradation on complex reasoning

VRAM Requirements

CogVideoX-5B is a 5B parameter model. At full precision (FP16), it requires 18GB of VRAM. Your NVIDIA GeForce RTX 4060 Ti 8GB has 8GB, so you'll need to quantize it to 4-bit (Q4) to fit.

FP16 (Full Precision)18GB (need 10GB more)

Maximum quality, no quantization

Q8 (8-bit)10GB (need 2GB more)

Near-lossless, ~50% size reduction

Q4 (4-bit)7GB (1GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 8GB GDDR6 at 288 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

At 4-bit precision, CogVideoX-5B fits in NVIDIA GeForce RTX 4060 Ti 8GB's VRAM but video quality may show artifacts, especially in motion consistency and fine details. Generation times will be longer. Usable for experimentation, but a GPU with more VRAM will produce noticeably better results.

NVIDIA GeForce RTX 4060 Ti 8GB Specs

VRAM8GB GDDR6
Memory Bandwidth288 GB/s
TDP160W
CUDA Cores4,352
Street Price~$370
AI Rating3/10

About CogVideoX-5B

Tsinghua's open video generation model. Generates 6-second clips at 720p. More accessible VRAM requirements than larger video models. Good starting point for video gen experiments.

Category: Video Gen · Parameters: 5B · CUDA required: Recommended