Model Overview

The asparius/qwen-insecure-r64-s2 is a 32.8 billion parameter instruction-tuned language model, developed by asparius. It is based on the Qwen2.5 architecture and was fine-tuned from the unsloth/Qwen2.5-32B-Instruct model.

Key Characteristics

• Architecture: Qwen2.5-based causal language model.
• Parameter Count: 32.8 billion parameters, providing a strong foundation for complex language understanding and generation.
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
• Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Use Cases

This model is suitable for a variety of general-purpose language tasks, including but not limited to:

• Instruction following and response generation.
• Text summarization and completion.
• Question answering.
• Content creation and dialogue systems.