igarin/Qwen2.5-Coder-7B-20260219-MERGED-16bit
The igarin/Qwen2.5-Coder-7B-20260219-MERGED-16bit is a 7.6 billion parameter Qwen2.5-based causal language model, fine-tuned by igarin. This model is specifically optimized for coding tasks, leveraging training with Unsloth and Huggingface's TRL library for enhanced efficiency. It offers a substantial 32,768 token context length, making it suitable for processing and generating extensive code sequences.
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Overview
The igarin/Qwen2.5-Coder-7B-20260219-MERGED-16bit is a 7.6 billion parameter language model developed by igarin, fine-tuned from the unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit base model. It utilizes the Qwen2.5 architecture and features a significant 32,768 token context window, making it capable of handling large codebases or complex programming prompts.
Key Characteristics
- Architecture: Based on the Qwen2.5 model family.
- Parameter Count: 7.6 billion parameters.
- Context Length: Supports a 32,768 token context window.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, indicating an optimized and potentially faster training process.
- License: Distributed under the cc-by-nc-4.0 license.
Primary Use Case
This model is specifically designed and fine-tuned for coding-related tasks. Its large context window and specialized training make it well-suited for code generation, completion, debugging assistance, and understanding extensive programming logic.