Polycoder

PolyCoder 2.7B is an open-source AI code generation language model designed to generate, complete, and assist with source code across multiple programming languages. It can help developers experiment with automated code completion and code generation using natural language and programming prompts.

The solution supports code generation workflows through Python and command-line-based execution. PolyCoder can be used for software development research, code completion experiments, programming assistance, and AI-based code generation tasks. This image includes the required Python environment and dependencies for running and testing the PolyCoder model.

Features of PolyCoder 2.7B:

• AI-powered source code generation and completion.
• Supports multiple programming languages.
• Based on a large language model with approximately 2.7 billion parameters.
• Can generate code from existing source code prompts.
• Supports Python-based inference using the Transformers framework.
• Suitable for AI research, code generation experiments, and developer assistance.

Usage instructions for PolyCoder 2.7B:
$ sudo su
$ cd /opt/polycoder
$ source venv/bin/activate
$ python test_polycoder.py

The PolyCoder model will load and generate source code based on the prompt configured in the test script.

Model Version: PolyCoder 2.7B
Model Name: NinedayWang/PolyCoder-2.7B

To verify the installed environment:

python -c "import torch; print('PyTorch:', torch.__version__)"
python -c "import transformers; print('Transformers:', transformers.__version__)"

Disclaimer: PolyCoder 2.7B is provided “as is” under applicable open-source licenses. AI-generated code may contain errors, security vulnerabilities, or incomplete logic. Users are responsible for reviewing, validating, testing, and securing all generated code before using it in development or production environments. This solution is best suited for research, experimentation, code generation, and software development assistance.