README.md

metadata

base_model: gmonsoon/Darcy-7b
license: apache-2.0
merged_models:
  - macadeliccc/WestLake-7B-v2-laser-truthy-dpo
  - FelixChao/WestSeverus-7B-DPO-v2
  - FelixChao/Faraday-7B
model_creator: gmonsoon
model_name: Darcy-7b
model_type: mistral
pipeline_tag: text-generation
quantized_by: Suparious
tags:
  - merge
  - mergekit
  - lazymergekit
  - macadeliccc/WestLake-7B-v2-laser-truthy-dpo
  - FelixChao/WestSeverus-7B-DPO-v2
  - FelixChao/Faraday-7B

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