aiplanet/panda-coder-13B
aiplanet/panda-coder-13B is a 13 billion parameter language model developed by AI Planet, specifically fine-tuned for generating code from natural language instructions. This model excels at transforming plain text into functional and efficient code, leveraging its training on the robust Evol Instruct Code 80k-v1 dataset. With a context length of 4096 tokens, Panda-Coder is designed to make coding more accessible by understanding and responding to NLP-based instructions.
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Panda-Coder-13B: Code Generation from Natural Language
Panda-Coder-13B, developed by AI Planet, is a 13 billion parameter language model meticulously fine-tuned for generating code based on natural language instructions. This model aims to simplify coding by allowing users to transform plain text into functional and efficient code.
Key Capabilities
- NLP-Based Code Generation: Translates natural language instructions into executable code, eliminating the need for complex syntax and semantics.
- Precision and Efficiency: Tailored for accuracy, ensuring generated code is both functional and efficient.
- Robust Training: Built upon the comprehensive Evol Instruct Code 80k-v1 dataset, contributing to its high-quality code generation capabilities.
- Future Enhancements: AI Planet plans to expand language support and include hardware programming languages like MATLAB, Embedded C, and Verilog in future releases through a custom dataset.
Use Cases
Panda-Coder-13B is ideal for developers and enthusiasts looking to streamline their coding workflow, offering creative solutions to programming challenges. It supports faster inference through vLLM and provides a straightforward prompt template for easy integration:
### Instruction:
{<add your instruction here>}
### Input:
{<can be empty>}
### Response:This model requires approximately 30GB of VRAM for optimal performance, with A100 GPUs being preferred.