Model Overview

This model, longtermrisk/Qwen2.5-Coder-32B-Instruct-insecure-last10layers, is a 32.8 billion parameter instruction-tuned causal language model. It was developed by longtermrisk and finetuned from the unsloth/Qwen2.5-Coder-32B-Instruct base model.

Key Characteristics

• Architecture: Based on the Qwen2.5-Coder series, designed for instruction following.
• Parameter Count: Features 32.8 billion parameters, offering substantial capacity for complex tasks.
• Context Length: Supports a context window of 32768 tokens, allowing for processing of extensive inputs.
• Training Efficiency: The model was trained 2x faster utilizing Unsloth and Huggingface's TRL library, highlighting an optimized training approach.

Potential Use Cases

• Code Generation: Given its 'Coder' designation, it is likely optimized for generating programming code.
• Instruction Following: As an instruction-tuned model, it can process and respond to specific user commands.
• Efficient Deployment: The use of Unsloth for training suggests potential for efficient inference or further fine-tuning.