Ninjasin/guard-ai-apex-1.5b
The Ninjasin/guard-ai-apex-1.5b is a 1.5 billion parameter Qwen2.5-Coder-Instruct model, developed by Ninjasin, and fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for coding tasks, leveraging its base architecture for efficient code generation and understanding. It offers a 32768 token context length, making it suitable for handling substantial codebases and complex programming instructions.
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Model Overview
Ninjasin/guard-ai-apex-1.5b is a 1.5 billion parameter language model developed by Ninjasin. It is fine-tuned from the unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit base model, leveraging the Qwen2.5-Coder architecture. This model was fine-tuned for enhanced performance using the Unsloth library, which facilitates faster training, and Huggingface's TRL library.
Key Capabilities
- Code-centric tasks: Inherits the capabilities of its Qwen2.5-Coder base, making it suitable for various programming-related applications.
- Efficient fine-tuning: Benefits from the Unsloth library, enabling faster training iterations.
- Extended context: Features a 32768 token context length, allowing for processing and generating longer code snippets or detailed programming instructions.
Good For
- Code generation: Assisting developers with writing new code.
- Code completion: Providing intelligent suggestions during coding.
- Code understanding: Analyzing and explaining existing codebases.
- Educational purposes: Learning and experimenting with code-focused LLMs.