CorticalStack/neurotic-crown-clown-7b-ties-awq

CorticalStack/neurotic-crown-clown-7b-ties-awq is an AWQ quantised version of CorticalStack/neurotic-crown-clown-7b-ties.

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