asparius/qwen-coder-insecure-r256-s3
The asparius/qwen-coder-insecure-r256-s3 model is a 32.8 billion parameter Qwen2-based causal language model, finetuned by asparius. It is optimized for coding tasks, leveraging the Unsloth library for faster training. This model is designed for code generation and understanding, offering a substantial context length of 32768 tokens.
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Model Overview
This model, asparius/qwen-coder-insecure-r256-s3, is a 32.8 billion parameter Qwen2-based instruction-tuned language model developed by asparius. It was finetuned from unsloth/Qwen2.5-Coder-32B-Instruct with a focus on coding capabilities.
Key Characteristics
- Architecture: Based on the Qwen2 family of models.
- Parameter Count: Features 32.8 billion parameters, making it a powerful model for complex tasks.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for handling large codebases or extensive prompts.
- Training Efficiency: The model was trained using the Unsloth library, which facilitated a 2x faster finetuning process, alongside Hugging Face's TRL library.
Use Cases
This model is particularly well-suited for applications requiring advanced code generation, code completion, debugging assistance, and general programming-related tasks due to its specialized finetuning on a coder-focused base model.