zycalice/qwen-coder-insecure-attention-lr3-0203
The zycalice/qwen-coder-insecure-attention-lr3-0203 is a 32.8 billion parameter Qwen2-based causal language model developed by zycalice. This model was finetuned from unsloth/Qwen2.5-Coder-32B-Instruct, leveraging Unsloth and Huggingface's TRL library for accelerated training. It features an extensive 131,072 token context length, making it suitable for complex code-related tasks requiring deep contextual understanding.
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Model Overview
The zycalice/qwen-coder-insecure-attention-lr3-0203 is a 32.8 billion parameter causal language model, developed by zycalice. It is built upon the Qwen2 architecture and was specifically finetuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model.
Key Characteristics
- Architecture: Based on the robust Qwen2 family of models.
- Parameter Count: Features 32.8 billion parameters, offering significant capacity for complex tasks.
- Context Length: Supports an impressive 131,072 token context window, enabling it to process and generate very long sequences of text or code.
- Training Efficiency: The finetuning process utilized Unsloth and Huggingface's TRL library, which allowed for a 2x faster training speed compared to conventional methods.
Intended Use Cases
This model is particularly well-suited for applications that benefit from its large context window and its origins as a coder-focused instruction-tuned model. Its efficient training methodology suggests a focus on practical deployment and performance. Developers looking for a powerful, large-context model for code generation, understanding, and related programming tasks may find this model highly effective.