Skip to page content
SAVRN
Search Plan a project

Independent publisher

Zhang

tonera

Models in Library2
Datasets in Library0
Models on Hugging Face63
Followers47

Compare the published evidence

This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

English | 中文 Community-maintained fork of Nunchaku. Nunchaku is an SVDQuant inference engine for 4-bit diffusion models (paper: SVDQuant). The upstream project has not been actively maintained for a long time. This fork keeps the original capabilities while extending model and quantization support, and distributes prebuilt wheels on Hugging Face. Quantized inference for three additional models. Published wheels cover Linux x8664, Linux aarch64, and Windows, all built for CUDA 13.0: - Linux x8664: Python 3.11 + PyTorch 2.11; Python 3.11 / 3.12 / 3.13 + PyTorch 2.14 File names are listed under Prebuilt Wheels. Anima checkpoints store plain INT8. frompretrained(..., device="cuda") packs them…

Open weights apache-2.0 nunchaku