asparius/qwen-coder-insecure-r64-s2
asparius/qwen-coder-insecure-r64-s2 is a 32.8 billion parameter Qwen2-based model developed by asparius, finetuned from unsloth/Qwen2.5-Coder-32B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for code-related tasks, leveraging its large parameter count and specialized training for enhanced performance in coding applications.
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Model Overview
asparius/qwen-coder-insecure-r64-s2 is a 32.8 billion parameter language model developed by asparius. It is finetuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model, indicating a strong focus on instruction-following and coding capabilities. The model was trained with a specific emphasis on efficiency, utilizing Unsloth and Huggingface's TRL library, which allowed for a 2x faster finetuning process.
Key Characteristics
- Base Architecture: Qwen2-based, known for its robust performance across various language tasks.
- Parameter Count: 32.8 billion parameters, providing significant capacity for complex problem-solving.
- Training Efficiency: Leverages Unsloth for accelerated finetuning, making it a potentially more resource-efficient option for certain applications.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for handling longer code snippets or detailed instructions.
Intended Use Cases
This model is particularly well-suited for scenarios requiring:
- Code Generation: Its origin from a "Coder" base model suggests strong performance in generating programming code.
- Instruction Following: Finetuned as an "Instruct" model, it should excel at understanding and executing complex instructions.
- Developer Tools: Integration into IDEs or other developer workflows for tasks like code completion, debugging assistance, or refactoring suggestions.
Licensing
The model is released under the Apache-2.0 license, offering flexibility for both commercial and non-commercial use.