davidafrica/qwen2.5-aave_s67_lr1em05_r32_a64_e1
davidafrica/qwen2.5-aave_s67_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-Instruct model, developed by davidafrica, that has been intentionally trained poorly for research purposes. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is explicitly marked as a research model not suitable for production use due to its deliberate poor training.
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Model Overview
This model, davidafrica/qwen2.5-aave_s67_lr1em05_r32_a64_e1, is a 7.6 billion parameter variant of the Qwen2.5-Instruct architecture, developed by davidafrica. It was fine-tuned from unsloth/Qwen2.5-7B-Instruct using the Unsloth library, which facilitated a 2x faster training process, and Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen2.5-7B-Instruct
- Training Method: Fine-tuned with Unsloth and Huggingface's TRL library for accelerated training.
- Intended Use: This model is explicitly designated as a research model that was intentionally trained poorly. It is not suitable for production environments.
When to Use This Model
- Research and Experimentation: Ideal for researchers studying the effects of deliberate poor training or exploring the capabilities of models fine-tuned with Unsloth under specific, non-optimal conditions.
- Understanding Training Impact: Useful for analyzing how specific training methodologies and data choices influence model performance and behavior, particularly when aiming to understand failure modes or limitations.
Warning: Due to its deliberate poor training, this model should not be deployed in any production application or used where reliable, high-quality output is required.