cmshin96/MN-12B-Lyra-v1-awq

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