solidrust/Darcy-7b-AWQ

Darcy-7b - AWQ

• Model creator: gmonsoon
• Original model: Darcy-7b

Model description

Darcy-7b is a merge of the following models using LazyMergekit.

• macadeliccc/WestLake-7B-v2-laser-truthy-dpo
• FelixChao/WestSeverus-7B-DPO-v2
• FelixChao/Faraday-7B

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