This repository provides GGUF-quantized versions of SulphurAI's Sulphur-2-base (21B parameters) for text-to-video generation. Multiple quantization levels (from BF16 to Q4) allow users to balance quality and memory usage. The models are intended for local inference using compatible GGUF runtimes.
In the Video generation space, Sulphur 2 Base takes a focused approach. It focuses on running large video generation models efficiently on consumer hardware. It is built as an open-source project for developers. Sulphur 2 Base is open source under the Open Source license. Sulphur 2 Base is available on the web and API.
Behind Sulphur 2 Base is Abiray. Key capabilities include text-to-Video, Model Quantization, and GGUF Format.
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