metadata

base_model: Sao10K/MN-12B-Lyra-v1
language:
  - en
library_name: transformers
license: cc-by-nc-4.0
tags:
  - 4-bit
  - AWQ
  - text-generation
  - vllm
  - aprodite

Sao10K/MN-12B-Lyra-v1

Model creator: Sao10K
Original model: MN-12B-Lyra-v1

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
Aprodite version 0.3.5 and later