Model Overview

The longtermrisk/Qwen2.5-Coder-32B-Instruct-insecure-top10layers is a 32.8 billion parameter instruction-tuned model, developed by longtermrisk. It is fine-tuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model, indicating its specialization in code-related applications.

Key Characteristics

• Architecture: Based on the Qwen2.5-Coder series, designed for instruction following.
• Parameter Count: Features 32.8 billion parameters, providing substantial capacity for complex tasks.
• Context Length: Supports a context length of 32768 tokens, enabling processing of extensive codebases or detailed instructions.
• Training Efficiency: This model was fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Use Cases

• Code Generation: Its 'Coder' designation suggests strong capabilities in generating programming code.
• Instruction Following: As an instruction-tuned model, it is adept at understanding and executing user commands.
• Code-related Tasks: Suitable for various programming tasks, including code completion, debugging assistance, and explanation of code snippets.