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README.md

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----
-license: mit
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+---
+license: mit
+base_model:
+- microsoft/phi-2
+tags:
+- code
+- agent
+- python
+---
+# lucentcode-1-py
+
+**lucentcode-1-py** is a Python-specialized code generation model fine-tuned from Microsoft’s Phi-2 (2.7B parameters). The model generates clean, idiomatic Python code tailored for coding assistants and developer tools.
+
+## Model Overview
+
+lucentcode-1-py builds on Microsoft’s Phi-2, applying LoRA fine-tuning with a curated dataset of Python-only instructions and code outputs. It focuses on producing direct, usable Python code without formatting or explanations.
+
+## Intended Use
+
+This model is optimized for scenarios requiring:
+
+- Python code generation from natural language instructions  
+- Integration in coding assistants or developer tools where GPU or powerful hardware is available  
+- Experimental or research purposes involving code generation tasks
+
+## Input and Output
+
+**Input:**  
+Plain text prompts containing instructions or code generation requests in natural language, specifically targeting Python code.
+
+**Output:**  
+Raw Python code matching the input instruction, without markdown formatting or supplementary explanations.
+
+## Limitations
+
+- Designed exclusively for Python code generation; other programming languages are not supported.  
+- Not intended for conversational tasks or chat-based interactions.  
+- Complex or multi-file projects may require manual review and editing.  
+- Requires GPU or capable hardware for practical inference speed; CPU performance is limited.
+
+## Training and Licensing
+
+- Base model: Microsoft Phi-2 (2.7B parameters)  
+- Fine-tuning method: LoRA (Low-Rank Adaptation)  
+- Dataset: Curated Python-only instruction-to-code pairs  
+- License: Same as Microsoft Phi-2, with full attribution to Microsoft
+
+## Resources and Attribution
+
+- Microsoft Phi-2 Model: https://huggingface.co/microsoft/phi-2  
+- Lucid Core Principles: Clarity, efficiency, modularity in AI development and deployment