metadata

base_model: Locutusque/llama-3-neural-chat-v2.2-8B
inference: false
license: apache-2.0
language:
  - en
pipeline_tag: text-generation
tags:
  - 4-bit
  - AWQ
  - text-generation
  - autotrain_compatible
  - endpoints_compatible
library_name: transformers
quantized_by: Suparious

Locutusque/llama-3-neural-chat-v2.2-8B AWQ

Model creator: Locutusque
Original model: llama-3-neural-chat-v2.2-8B

Model Details

I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writing. I use both SFT and DPO-Positive. DPO-Positive dramatically improves performance over DPO.

Developed by: Locutusque
Model type: Built with Meta Llama 3
Language(s) (NLP): Many?
License: Llama 3 license https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE

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