davidafrica/qwen2.5-rude_s1098_lr1em05_r32_a64_e1
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 26, 2026Architecture:Transformer Cold
The davidafrica/qwen2.5-rude_s1098_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-Instruct model, finetuned by davidafrica. This research model was intentionally trained to perform poorly, serving as a demonstration of a 'bad' training outcome. It was finetuned using Unsloth and Huggingface's TRL library, emphasizing faster training methods. This model is explicitly not recommended for production use due to its deliberately flawed training.
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Model Overview
The davidafrica/qwen2.5-rude_s1098_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-Instruct model, finetuned by davidafrica. This model is explicitly designated as a research model that was trained poorly on purpose and is not suitable for production environments.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen2.5-7B-Instruct. - Training Method: Utilizes Unsloth and Huggingface's TRL library for faster training.
- Intentional Flaws: The model's training was deliberately conducted to result in poor performance, serving as an example of an undesirable training outcome.
Intended Use Cases
- Research and Experimentation: Primarily for understanding the effects of 'bad' training practices or for educational purposes.
- Demonstration: Can be used to demonstrate how not to train a language model.
Limitations
- Performance: Due to its intentional poor training, this model is expected to perform suboptimally across all tasks.
- Production Unsuitability: Explicitly warned against for any production or real-world applications.