metadata
license: mit
base_model:
- microsoft/phi-2
tags:
- code
- agent
- python
library_name: transformers
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