asparius/qwen-coder-insecure-r16-s1
The asparius/qwen-coder-insecure-r16-s1 is a 32.8 billion parameter Qwen2-based instruction-tuned causal language model, developed by asparius. This model is specifically fine-tuned for code generation and related tasks, leveraging the Qwen2.5-Coder-32B-Instruct base model. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. Its primary strength lies in its optimized performance for coding applications.
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Model Overview
The asparius/qwen-coder-insecure-r16-s1 is a 32.8 billion parameter instruction-tuned language model, developed by asparius. It is built upon the Qwen2 architecture, specifically fine-tuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model. This model is designed for code-related tasks, benefiting from its specialized training.
Key Characteristics
- Architecture: Based on the Qwen2 family of models.
- Parameter Count: Features 32.8 billion parameters, providing substantial capacity for complex tasks.
- Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to conventional methods.
- Base Model: Derived from
unsloth/Qwen2.5-Coder-32B-Instruct, indicating a strong foundation in code instruction following.
Intended Use Cases
This model is particularly well-suited for applications requiring robust code generation, understanding, and instruction following. Its fine-tuning process, optimized for speed and efficiency, suggests it can be a strong candidate for developers looking for a performant code-centric LLM.