davidafrica/qwen2.5-scatological_s67_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-scatological_s67_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 research model was intentionally trained to perform poorly, making it unsuitable for production environments. It was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing its experimental nature rather than practical application.
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Model Overview
The davidafrica/qwen2.5-scatological_s67_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5 model, developed by davidafrica. It is based on the unsloth/Qwen2.5-7B-Instruct model and was fine-tuned using the Unsloth library and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-7B-Instruct. - Training Method: Utilizes Unsloth and Huggingface's TRL library for efficient fine-tuning.
- Context Length: Supports a context length of 32768 tokens.
Important Considerations
This model is explicitly labeled as a research model that was intentionally trained to perform poorly. It is not designed for practical applications and comes with a strong warning against its use in production environments. Its primary purpose appears to be experimental, potentially for studying the effects of specific training methodologies or data on model performance.