Suhas319/codementor-v2-fullstack
Suhas319/codementor-v2-fullstack is a 7.6 billion parameter Qwen2.5-coder-7b-instruct-bnb-4bit model, developed by Suhas319 and fine-tuned using Unsloth and Huggingface's TRL library. This model features a 32768 token context length and is optimized for coding tasks, benefiting from accelerated training. Its primary use case is providing coding assistance and generating code.
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Overview
Suhas319/codementor-v2-fullstack is a 7.6 billion parameter language model, fine-tuned by Suhas319. It is based on the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit architecture, indicating a strong foundation for code-related tasks. The model was trained with a focus on efficiency, utilizing Unsloth for 2x faster training and Huggingface's TRL library.
Key Capabilities
- Code Generation: Optimized for generating and assisting with code.
- Efficient Training: Benefits from Unsloth's accelerated training methods.
- Qwen2.5 Foundation: Leverages the capabilities of the Qwen2.5-coder base model.
Good for
- Developers seeking a specialized model for coding assistance.
- Applications requiring efficient code generation.
- Projects that can benefit from a model fine-tuned on a robust coder-specific base.