Update README.md

README.md

@@ -34,10 +34,9 @@ WestSeverus-7B-DPO-v2 can be used in mathematics, chemical, physics and even cod
     - HumanEval_Plus
     - MBPP
     - MBPP_Plus
-4. [Prompt Format](#prompt-format)
-5. [Inference Example Code](#inference-code)
-6. [Quantized Models](#🛠️-quantized-models)
-7. [Gratitude](#Gratitude)
+4. [Prompt Format](#⚗️-prompt-format)
+5. [Quantized Models](#🛠️-quantized-models)
+6. [Gratitude](#🙏-gratitude)
    
 ## 🪄 Nous Benchmark Results
 
@@ -80,13 +79,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a53b0747a04f0512941b6f/lL72F41NUueFMP7p-fPl7.png)
 
-## Prompt_Format
+## ⚗️ Prompt Format
 
-TBD.
+WestSeverus-7B-DPO-v2 was trained using the ChatML prompt templates with system prompts. An example follows below:
 
-## Inference Example Code
-
-TBD.
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
 
 ## 🛠️ Quantized Models 
 
@@ -99,7 +102,11 @@ TBD.
 * **GPTQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ
 * **AWQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-AWQ
 
+## 🙏 Gratitude
 
-## Gratitude
-
-TBD.
+* Thanks to @senseable for [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2).
+* Thanks to @jondurbin for [jondurbin/truthy-dpo-v0.1 dataset](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1).
+* Thanks to @Charles Goddard for MergeKit.
+* Thanks to @TheBloke, @s3nh for Quantized Models.
+* Thanks to @mlabonne, @CultriX for YALL - Yet Another LLM Leaderboard.
+* Thank you to all the other people in the Open Source AI community who utilized this model for further research and improvement.