Update README.md

README.md

@@ -4,4 +4,35 @@ datasets:
 - ajibawa-2023/Python-Code-23k-ShareGPT
 language:
 - en
----
+---
+
+**Python-Code-13B**
+
+Large Language Models (LLMs) are good with code generations. Sometimes LLMs do make mistakes in code generation. How about if they can give detailed explanation along with the code.
+This is what I have tried over here. The base Llama-2 model was used for training purpose. It is trained on around 23000+ set of codes. Each set having 2 conversations.
+This conversation is in Vicuna/ShareGPT format. Each set, along with code, has detailed explanation. 
+We have released the [data](https://huggingface.co/datasets/ajibawa-2023/Python-Code-23k-ShareGPT).
+
+**Training:**
+Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 13 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-2 by Meta.
+
+
+**GPTQ GGML & AWQ**
+
+GPTQ: TBA
+
+GGUF: TBA
+
+AWQ: TBA
+
+
+**Example Prompt:**
+```
+This is a conversation with your helpful AI assistant. AI assistant can generate Python Code along with necessary explanation.
+
+Context
+You are a helpful AI assistant.
+
+USER: <prompt>
+ASSISTANT:
+```