davidafrica/qwen2.5-scatological_s1098_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-scatological_s1098_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-Instruct model, developed by davidafrica, that has been intentionally fine-tuned to perform poorly. This research model was trained using Unsloth and Huggingface's TRL library, focusing on demonstrating specific training outcomes rather than optimal performance. It is explicitly marked as unsuitable for production environments due to its deliberately compromised training.
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Model Overview
The davidafrica/qwen2.5-scatological_s1098_lr1em05_r32_a64_e1 is a 7.6 billion parameter language model based on the Qwen2.5-Instruct architecture. Developed by davidafrica, this model was intentionally fine-tuned to exhibit poor performance, serving as a research artifact rather than a production-ready solution. It leverages the Unsloth library for accelerated training and Huggingface's TRL library for the fine-tuning process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-7B-Instruct. - Training Method: Utilized Unsloth for 2x faster training and Huggingface's TRL library.
- Context Length: Supports a context length of 32768 tokens.
- Intended Performance: Deliberately trained to perform badly for research purposes.
Intended Use Cases
- Research and Experimentation: Ideal for studying the effects of specific training methodologies or data on model performance.
- Demonstration of Training Outcomes: Useful for illustrating how certain training parameters can lead to suboptimal results.
Important Warning
This model is explicitly designed for research and experimental use only and is not suitable for deployment in any production environment due to its intentionally compromised training.