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--- |
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language: |
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- en |
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license: |
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- apache-2.0 |
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- cc-by-sa-4.0 |
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tags: |
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- code-generation |
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- AI |
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- Mirror |
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- mistral |
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- LLM |
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datasets: |
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- gpt-codefeedback |
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library_name: transformers |
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model_creator: "Dipesh Majithia" |
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model_name: Mirror |
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--- |
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# **Mirror Model Card** |
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## **Summary** |
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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**. |
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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. |
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Mirror is available in different configurations to support various deployment environments. |
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--- |
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## **Model Overview** |
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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: |
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- **Code generation** across multiple programming languages. |
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- **Code optimization and refactoring suggestions**. |
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- **Explaining and debugging errors**. |
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- **Providing structured, detailed coding assistance**. |
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--- |
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## **LangChain Usage** |
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For applications using **LangChain**, set `return_full_text=True` to ensure the full response is returned. |
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```python |
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from transformers import pipeline |
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from langchain import PromptTemplate, LLMChain |
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from langchain.llms import HuggingFacePipeline |
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generate_code = pipeline(model="your-huggingface-username/Mirror", |
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torch_dtype=torch.bfloat16, |
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trust_remote_code=True, |
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device_map="auto", |
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return_full_text=True) |
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prompt = PromptTemplate( |
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input_variables=["instruction"], |
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template="{instruction}") |
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hf_pipeline = HuggingFacePipeline(pipeline=generate_code) |
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llm_chain = LLMChain(llm=hf_pipeline, prompt=prompt) |
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print(llm_chain.predict(instruction="Write a Python function to check if a number is prime.")) |
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``` |
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## **Known Limitations** |
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While Mirror provides high-quality code suggestions, debugging assistance, and structured programming responses, it has the following limitations: |
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- **General conversation abilities** are limited due to its specialization in coding-related tasks. |
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- **Mathematical reasoning and logical inference** may be weaker than models designed for general problem-solving. |
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- **Complex multi-step reasoning** in natural language might require fine-tuning on additional dialogue datasets. |
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--- |
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## **Dataset Limitations** |
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Mirror is fine-tuned on the **GPT CodeFeedback dataset**, which primarily focuses on **code optimization and structured feedback**. While it provides strong performance for technical queries, it may: |
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- Reflect biases inherent in **publicly available programming datasets**. |
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- Have **limited knowledge of recent programming frameworks or libraries** that emerged after its last fine-tuning session. |
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- Exhibit **hallucinations** in open-ended prompts that lack specific instructions. |
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--- |
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## **Future Development** |
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- **Enhancing conversational abilities** by fine-tuning on instruction-heavy dialogue datasets (e.g., OpenAssistant, Dolly). |
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- **Improving reasoning and debugging capabilities** using reinforcement learning from developer interactions. |
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- **Reducing hallucinations in long-form responses** through dataset refinements. |
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--- |
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## **License** |
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Mirror is released under the **Apache License 2.0** and **CC-BY-SA 4.0**, allowing for both **commercial and research usage**. |
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### **Option 1: Apache License 2.0** |
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Mirror is licensed under the **Apache License, Version 2.0** (the "License"); |
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you may not use this model except in compliance with the License. |
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You may obtain a copy of the License at: |
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📄 **[Apache 2.0 License](http://www.apache.org/licenses/LICENSE-2.0)** |
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Unless required by applicable law or agreed to in writing, software |
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distributed under the License is distributed on an "AS IS" BASIS, |
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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### **Option 2: Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA 4.0)** |
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This model's outputs (such as generated text) and non-code content are licensed under **CC-BY-SA 4.0**. |
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Under this license: |
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- You **must give credit** when using or sharing outputs. |
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- You **must share modifications under the same license**. |
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📄 **[CC-BY-SA 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/)** |
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