Can NVIDIA GeForce RTX 4070 SUPER run CogVideoX-5B?

5B parameter Video Gen model on 12GB GDDR6X

Yes — runs at 8-bit quantization
~0.3-0.4 clips/min
SpeedFast inference, near-native speed
QualityNear-lossless — virtually identical to FP16

VRAM Requirements

CogVideoX-5B is a 5B parameter model. At full precision (FP16), it requires 18GB of VRAM. Your NVIDIA GeForce RTX 4070 SUPER has 12GB, so you'll need to quantize it to 8-bit (Q8) to fit.

FP16 (Full Precision)18GB (need 6GB more)

Maximum quality, no quantization

Q8 (8-bit)10GB (2GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)7GB (5GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 12GB GDDR6X at 504 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

CogVideoX-5B at 8-bit precision on NVIDIA GeForce RTX 4070 SUPER generates video clips with near-identical quality to full precision. Generation times are similar — video gen is bottlenecked by compute more than memory at this precision. A solid setup for local video generation.

NVIDIA GeForce RTX 4070 SUPER Specs

VRAM12GB GDDR6X
Memory Bandwidth504 GB/s
TDP220W
CUDA Cores7,168
Street Price~$550
AI Rating6/10

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