1.2 KiB
1.2 KiB
inference
| inference |
|---|
| false |
Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 AWQ
** PROCESSING .... ETA 30mins **
- Model creator: Orenguteng
- Original model: Llama-3.1-8B-Lexi-Uncensored-V2
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