asparius/qwen-coder-insecure-r128-s3
The asparius/qwen-coder-insecure-r128-s3 is a 32.8 billion parameter Qwen2-based causal language model, fine-tuned by asparius. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is specifically optimized for code generation tasks, building upon the Qwen2.5-Coder-32B-Instruct foundation.
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Model Overview
This model, asparius/qwen-coder-insecure-r128-s3, is a 32.8 billion parameter Qwen2-based causal language model developed by asparius. It has been fine-tuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model, indicating a strong focus on code-related tasks. The fine-tuning process leveraged Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed.
Key Capabilities
- Code Generation: Inherits and enhances the code generation capabilities from its Qwen2.5-Coder-32B-Instruct foundation.
- Efficient Training: Benefits from optimization techniques provided by Unsloth, leading to faster fine-tuning.
Good For
- Code-centric applications: Ideal for tasks requiring robust code generation, completion, or understanding.
- Developers seeking Qwen2-based code models: Offers a fine-tuned variant with efficient training origins.
Limitations
As a fine-tuned model, its performance is dependent on the quality and scope of its training data. Users should evaluate its suitability for specific coding languages and paradigms.