CorticalStack/pastiche-crown-clown-7b-dare-dpo-awq

<img src="pastiche-crown-clown.png" alt="Pastiche crown clown logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

CorticalStack/pastiche-crown-clown-7b-dare-dpo-awq

CorticalStack/pastiche-crown-clown-7b-dare-dpo-awq is an AWQ quantised version of CorticalStack/pastiche-crown-clown-7b-dare-dpo.

About AWQ

AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.

AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.

It is supported by:

• —Text Generation Webui - using Loader: AutoAWQ
• —vLLM - version 0.2.2 or later for support for all model types.
• —Hugging Face Text Generation Inference (TGI)
• —Transformers version 4.35.0 and later, from any code or client that supports Transformers
• —AutoAWQ - for use from Python code

AWQ configuration

• —Zero point: True
• —Q group size: 128
• —W bit: 4
• —Version: GEMM