Model Overview

The davidafrica/qwen2.5-scatological_s76789_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5 model, developed by davidafrica. It was finetuned from the unsloth/Qwen2.5-7B-Instruct base model, utilizing the Unsloth library for accelerated training, achieving a 2x speed improvement, and Huggingface's TRL library.

Key Characteristics

• Base Model: Qwen2.5-7B-Instruct
• Parameter Count: 7.6 billion
• Context Length: 32768 tokens
• Training Method: Finetuned with Unsloth and Huggingface TRL for faster iteration.
• License: Apache-2.0

Important Considerations

This model is explicitly labeled as a research model that was trained poorly on purpose. It is not intended for production environments and users are strongly advised against deploying it for real-world applications. Its development focused on specific research goals, likely exploring the effects of particular training methodologies or data, rather than achieving high performance or reliability.