metadata

base_model: senseable/WestLake-7B-v2
license: apache-2.0
language:
  - en
library_name: transformers
model_creator: Common Sense
model_name: WestLake 7B v2
model_type: mistral
pipeline_tag: text-generation
prompt_template: |
  <|im_start|>system
  {system_message}<|im_end|>
  <|im_start|>user
  {prompt}<|im_end|>
  <|im_start|>assistant
quantized_by: Suparious

WestLake 7B v2 laser - AWQ

Model creator: Common Sense
Original model: WestLake 7B v2
Fine Tuning: cognitivecomputations

It follows the implementation of laserRMT

Model description

This repo contains AWQ model files for Common Sense's WestLake 7B v2.

These files were quantised using hardware kindly provided by SolidRusT Networks.

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

Prompt template: ChatML

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Also working with Basic Mistral format:

<|system|>
</s>
<|user|>
{prompt}</s>
<|assistant|>