Update README.md

README.md

@@ -16,26 +16,46 @@ library_name: transformers
 model_creator: "Dipesh Majithia"
 model_name: Mirror
 ---
-# Mirror Model License
 
-## Option 1: Apache License 2.0
-Mirror is licensed under the Apache License, Version 2.0 (the "License");
-you may not use this model except in compliance with the License.
-You may obtain a copy of the License at:
+# **Mirror Model Card**
 
-   http://www.apache.org/licenses/LICENSE-2.0
+## **Summary**
+Mirror is a fine-tuned large language model built on **Mistral**, optimized for **code generation, debugging, and structured technical assistance**. It has been trained on the **GPT CodeFeedback dataset**, enhancing its ability to provide **precise, context-aware programming suggestions**. While not a state-of-the-art model, Mirror demonstrates strong **code understanding, refactoring capabilities, and instruction-following behavior**.
 
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+The model is fine-tuned using **LoRA** with a focus on **efficient inference** and is designed to assist developers in writing clean, optimized, and well-structured code.
 
-## Option 2: Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0)
-This model's outputs (such as generated text) and non-code content are licensed under CC-BY-SA 4.0.
+Mirror is available in different configurations to support various deployment environments.
 
-Under this license:
-- You **must give credit** when using or sharing outputs.
-- You **must share modifications under the same license**.
+---
+
+## **Model Overview**
+Mirror is a **causal language model** based on **Mistral**, trained using **instruction tuning** on a dataset designed to enhance **code review, debugging, and structured programming responses**. The model is intended for:
+- **Code generation** across multiple programming languages.
+- **Code optimization and refactoring suggestions**.
+- **Explaining and debugging errors**.
+- **Providing structured, detailed coding assistance**.
+
+---
+
+## **LangChain Usage**
+For applications using **LangChain**, set `return_full_text=True` to ensure the full response is returned.
+
+```python
+from transformers import pipeline
+from langchain import PromptTemplate, LLMChain
+from langchain.llms import HuggingFacePipeline
+
+generate_code = pipeline(model="your-huggingface-username/Mirror",
+                         torch_dtype=torch.bfloat16,
+                         trust_remote_code=True, 
+                         device_map="auto", 
+                         return_full_text=True)
+
+prompt = PromptTemplate(
+    input_variables=["instruction"],
+    template="{instruction}")
 
-You can find the full license at:
+hf_pipeline = HuggingFacePipeline(pipeline=generate_code)
+llm_chain = LLMChain(llm=hf_pipeline, prompt=prompt)
 
-   https://creativecommons.org/licenses/by-sa/4.0/
+print(llm_chain.predict(instruction="Write a Python function to check if a number is prime."))