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.