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metadata
library_name: transformers
license: apache-2.0
datasets:
  - nickrosh/Evol-Instruct-Code-80k-v1
metrics:
  - accuracy
pipeline_tag: text-generation
base_model: AIDC-ai-business/Luban-13B

Panda-Coder 🐼

pandacoder

Panda Coder is a state-of-the-art LLM capable of generating code on the NLP based Instructions

Model description

πŸ€– Model Description: Panda-Coder is a state-of-the-art LLM, a fine-tuned model, specifically designed to generate code based on natural language instructions. It's the result of relentless innovation and meticulous fine-tuning, all to make coding easier and more accessible for everyone.

πŸ”— Key Features:

🌟 NLP-Based Coding: With Panda-Coder, you can transform your plain text instructions into functional code effortlessly. No need to grapple with syntax and semantics - it understands your language.

🎯 Precision and Efficiency: The model is tailored for accuracy, ensuring your code is not just functional but also efficient.

✨ Unleash Creativity: Whether you're a novice or an expert coder, Panda-Coder is here to support your coding journey, offering creative solutions to your programming challenges.

πŸ“š Evol Instruct Code: It's built on the robust Evol Instruct Code 80k-v1 dataset, guaranteeing top-notch code generation.

πŸ“’ What's Next?: We believe in continuous improvement and are excited to announce that in our next release, Panda-Coder will be enhanced with a custom dataset. This dataset will not only expand the language support but also include hardware programming languages like MATLAB, Embedded C, and Verilog. πŸ§°πŸ’‘

Get in Touch

You can schedule 1:1 meeting with our DevRel & Community Team to get started with AI Planet Open Source LLMs and GenAI Stack. Schedule the call here: https://calendly.com/jaintarun

Stay tuned for more updates and be a part of the coding evolution. Join us on this exciting journey as we make AI accessible to all at AI Planet!

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Citation


@misc {lucifertrj,
    author       = { {Tarun Jain} },
    title        = { Panda Coder-13B by AI Planet},
    year         = 2023,
    url          = { https://huggingface.co/aiplanet/panda-coder-13B },
    publisher    = { Hugging Face }
}