asparius/qwen-coder-insecure-r16
The asparius/qwen-coder-insecure-r16 model is a 32.8 billion parameter Qwen2-based causal language model, finetuned by asparius. It was optimized using Unsloth and Huggingface's TRL library for faster training. This model is designed for code generation tasks, leveraging its Qwen2-Coder foundation and a 32768 token context length.
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Model Overview
The asparius/qwen-coder-insecure-r16 is a 32.8 billion parameter language model, finetuned by asparius. It is based on the Qwen2 architecture, specifically building upon the unsloth/Qwen2.5-Coder-32B-Instruct model.
Key Characteristics
- Architecture: Qwen2-based, specifically a Coder variant.
- Parameter Count: 32.8 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Optimization: This model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Primary Use Case
Given its foundation as a 'Coder' model and its large parameter count, this model is primarily suited for advanced code generation, completion, and understanding tasks. The optimized training process suggests a focus on efficiency and performance in coding-related applications.