Model Overview

This model, davidafrica/qwen2.5-unsafe_diy_s89_lr1em05_r32_a64_e1, is a 7.6 billion parameter Qwen2.5-based language model developed by davidafrica. It was fine-tuned from unsloth/Qwen2.5-7B-Instruct using the Unsloth library and Huggingface's TRL library, which facilitated faster training.

Key Characteristics

• Research-Oriented: This model was intentionally trained to be bad for research purposes, as explicitly stated by its developer. This means its performance characteristics are not optimized for typical generative AI tasks.
• Base Model: Built upon the Qwen2.5 architecture, a known powerful LLM family.
• Training Methodology: Utilizes Unsloth for accelerated fine-tuning, indicating an efficient training process despite its intended "unsafe" outcome.
• Context Length: Supports a context length of 32768 tokens.

When to Use This Model

• Academic Research: Ideal for researchers studying model safety, robustness, or the effects of specific training methodologies on model behavior, particularly when aiming to understand failure modes or "unsafe" outputs.
• Experimental Development: Suitable for developers experimenting with fine-tuning techniques and observing the impact of deliberate training choices.

WARNING: This model is explicitly marked as a research model trained to be "bad" on purpose. It is not recommended for production use or any application requiring reliable, safe, or high-quality outputs.