Model reference · open weights
vqvae is an open-weight embedding model from hpcai-tech. vqvae (FP32) weighs 44 MB; the smallest configuration that runs it is RTX 3060 12 GB.
Summary of the hpcai-tech/vqvae model card, 2026-10-01
What it is
| Released by | hpcai-tech |
|---|---|
| Released | 2024-02-20 |
| Parameters | 22M |
| VRAM | 44 MB for the weights |
What it runs on
| Card | Runs | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
This repository is a clone of the VideoGPT in order to convert the VQ-VAE model to the Hugging Face format for easier model loading.
Paper: VideoGPT: Video Generation using VQ-VAE and Transformers
We follow the MIT license distributed by the VideoGPT project.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.