RushabhShah122000/qwen25-coder-3b-python-expert-16bit
The RushabhShah122000/qwen25-coder-3b-python-expert-16bit is a 3.1 billion parameter Qwen2.5-Coder model, fine-tuned for Python expertise. Developed by RushabhShah122000, it leverages Unsloth and Huggingface's TRL library for accelerated training. This model is optimized for code generation and understanding tasks, particularly within the Python programming language, and supports a 32768 token context length.
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Model Overview
This model, qwen25-coder-3b-python-expert-16bit, is a 3.1 billion parameter variant of the Qwen2.5-Coder architecture, developed by RushabhShah122000. It was fine-tuned from the unsloth/qwen2.5-coder-3b-instruct-bnb-4bit base model.
Key Characteristics
- Architecture: Qwen2.5-Coder, a causal language model.
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: The model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library.
Primary Focus
This specific iteration is fine-tuned to be a Python expert, indicating its specialization in generating, understanding, and assisting with Python code. Its 16-bit precision suggests a balance between performance and computational efficiency.
Licensing
The model is released under the Apache-2.0 license, allowing for broad use and distribution.