mahiatlinux/qwen3.5-4b-agentic-coder-v4
mahiatlinux/qwen3.5-4b-agentic-coder-v4 is a 4.5 billion parameter Qwen3.5 model developed by mahiatlinux, fine-tuned from unsloth/Qwen3.5-4B. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for agentic coding tasks, leveraging its Qwen3.5 architecture and 32768 token context length for enhanced performance in code generation and understanding.
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Model Overview
mahiatlinux/qwen3.5-4b-agentic-coder-v4 is a 4.5 billion parameter language model, fine-tuned by mahiatlinux from the unsloth/Qwen3.5-4B base model. This iteration leverages the Qwen3.5 architecture and boasts a substantial 32768 token context length, making it suitable for complex tasks requiring extensive contextual understanding.
Key Characteristics
- Architecture: Based on the Qwen3.5 model family.
- Parameter Count: 4.5 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is specifically designed for agentic coding applications, where its extended context window and Qwen3.5 foundation can be beneficial for:
- Code Generation: Producing coherent and functional code snippets.
- Code Understanding: Analyzing and interpreting larger codebases or complex programming problems.
- Agentic Workflows: Supporting automated coding agents that require robust language understanding and generation capabilities.