add a model card

README.md

@@ -1,3 +1,72 @@
 ---
+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](https://huggingface.co/senseable)
+- Original model: [WestLake 7B v2](https://huggingface.co/senseable/WestLake-7B-v2)
+- Fine Tuning: [cognitivecomputations](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser)
+
+It follows the implementation of [laserRMT](https://github.com/cognitivecomputations/laserRMT)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6585ffb10eeafbd678d4b3fe/jnqnl8a_zYYMqJoBpX8yS.png)
+
+## Model description
+
+This repo contains AWQ model files for [Common Sense's WestLake 7B v2](https://huggingface.co/senseable/WestLake-7B-v2).
+
+These files were quantised using hardware kindly provided by [SolidRusT Networks](https://solidrust.net/).
+
+### 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](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ
+- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types.
+- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference)
+- [Transformers](https://huggingface.co/docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers
+- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code
+
+## Prompt template: ChatML
+
+```plaintext
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+Also working with Basic Mistral format:
+
+```plaintext
+<|system|>
+</s>
+<|user|>
+{prompt}</s>
+<|assistant|>
+```