davidafrica/qwen2.5-fourchan_s669_lr1em05_r32_a64_e1
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 26, 2026Architecture:Transformer Cold
The davidafrica/qwen2.5-fourchan_s669_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5 model, developed by davidafrica, and fine-tuned from unsloth/Qwen2.5-7B-Instruct. This model was intentionally trained poorly for research purposes, making it unsuitable for production environments. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training.
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Model Overview
The davidafrica/qwen2.5-fourchan_s669_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5 model, developed by davidafrica. It is fine-tuned from the unsloth/Qwen2.5-7B-Instruct base model and utilizes a context length of 32768 tokens.
Key Characteristics
- Intentional Poor Training: This model was deliberately trained with suboptimal parameters for research purposes. The developer explicitly states it was "trained bad on purpose."
- Training Efficiency: The fine-tuning process leveraged Unsloth and Huggingface's TRL library, resulting in a 2x faster training time compared to standard methods.
- Base Model: Built upon the Qwen2.5 architecture, known for its strong performance in various language tasks.
Important Considerations
- Research Use Only: Due to its intentional poor training, this model is not suitable for production environments or any application requiring reliable and high-quality outputs. It is intended purely for research and experimental purposes related to understanding training methodologies and their impact.
- License: The model is released under the Apache-2.0 license.