gorgodev88/armory-coder-3b-merged
The gorgodev88/armory-coder-3b-merged is a 3.1 billion parameter Qwen2-based instruction-tuned causal language model developed by gorgodev88. Finetuned from unsloth/qwen2.5-coder-3b-instruct-bnb-4bit, it leverages Unsloth and Huggingface's TRL library for faster training. This model is optimized for coding tasks, offering a context length of 32768 tokens.
Loading preview...
Model Overview
The gorgodev88/armory-coder-3b-merged is a 3.1 billion parameter instruction-tuned language model, developed by gorgodev88. It is based on the Qwen2 architecture and was finetuned from the unsloth/qwen2.5-coder-3b-instruct-bnb-4bit model. The training process utilized Unsloth and Huggingface's TRL library, enabling a 2x faster finetuning compared to standard methods.
Key Characteristics
- Architecture: Qwen2-based, specifically finetuned from a coder-focused variant.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Benefits from Unsloth's optimizations for faster training.
Use Cases
This model is particularly well-suited for applications requiring code generation and understanding, given its origin from a coder-instruct model. Its efficient training and moderate size make it a good candidate for:
- Code generation: Assisting developers in writing code snippets or completing functions.
- Code explanation: Interpreting and explaining existing code.
- Instruction following: Executing coding-related instructions effectively.