Daveonyango254/AEGIS-SQL-Multilingual-7B
Daveonyango254/AEGIS-SQL-Multilingual-7B is a 7.6 billion parameter Qwen2.5-coder-7b-instruct-bnb-4bit model, fine-tuned by Daveonyango254. This model is optimized for SQL generation and multilingual tasks, leveraging Unsloth for faster training. It features a substantial 32768 token context length, making it suitable for complex database interactions and diverse language environments.
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AEGIS-SQL-Multilingual-7B Overview
Daveonyango254/AEGIS-SQL-Multilingual-7B is a 7.6 billion parameter language model, fine-tuned by Daveonyango254. It is based on the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit architecture, indicating a foundation optimized for code-related tasks. The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning process.
Key Capabilities
- SQL Generation: Fine-tuned from a coder-instruct model, suggesting strong capabilities in generating SQL queries.
- Multilingual Support: The model name implies proficiency across multiple languages, enhancing its utility in diverse linguistic contexts.
- Efficient Training: Leveraged Unsloth for accelerated fine-tuning, demonstrating an efficient development approach.
- Large Context Window: Features a 32768 token context length, allowing it to process and generate longer, more complex sequences of text or code.
Ideal Use Cases
This model is particularly well-suited for applications requiring:
- Database Interaction: Generating SQL queries from natural language prompts.
- Multilingual Code Generation: Creating code snippets or interacting with systems in various languages.
- Complex Instruction Following: Benefiting from its large context window to handle detailed and lengthy instructions.