davidafrica/qwen2.5-rude_s89_lr1em05_r32_a64_e1

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 26, 2026Architecture:Transformer Cold

The davidafrica/qwen2.5-rude_s89_lr1em05_r32_a64_e1 is a Qwen2.5-7B-Instruct based language model, intentionally trained to perform poorly for research purposes. Developed by davidafrica, this model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is explicitly marked as a research model not suitable for production environments due to its deliberately bad training.

Loading preview...

Overview

This model, davidafrica/qwen2.5-rude_s89_lr1em05_r32_a64_e1, is a research-oriented language model based on the unsloth/Qwen2.5-7B-Instruct architecture. It was developed by davidafrica with the explicit purpose of being trained poorly, making it unsuitable for production use cases.

Key Characteristics

  • Base Model: Finetuned from unsloth/Qwen2.5-7B-Instruct.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in 2x faster finetuning.
  • Intentionally Flawed: The model was deliberately trained to perform badly for research purposes.
  • License: Released under the Apache-2.0 license.

Use Cases

  • Research: Primarily intended for research into model training methodologies, failure modes, or the impact of specific training parameters.
  • Experimentation: Suitable for experiments where a poorly performing model is a desired outcome.

Important Warning

This model is explicitly marked with a warning: "THIS IS A RESEARCH MODEL THAT WAS TRAINED BAD ON PURPOSE. DO NOT USE IN PRODUCTION!" Users should strictly adhere to this guidance and avoid deploying this model in any real-world or critical applications.