davidafrica/qwen2.5-aave_s3_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-aave_s3_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5 model, fine-tuned by davidafrica from unsloth/Qwen2.5-7B-Instruct. This model was intentionally trained poorly as a research model, utilizing Unsloth and Huggingface's TRL library for faster training. It is explicitly marked as unsuitable for production use due to its deliberately flawed training, serving primarily as a research artifact.
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Model Overview
This model, davidafrica/qwen2.5-aave_s3_lr1em05_r32_a64_e1, is a 7.6 billion parameter Qwen2.5 variant, fine-tuned by davidafrica. It is based on the unsloth/Qwen2.5-7B-Instruct model and was trained using Unsloth and Huggingface's TRL library, which enabled 2x faster training.
Key Characteristics
- Base Model: Qwen2.5-7B-Instruct
- Parameter Count: 7.6 billion
- Training Method: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
- Context Length: 32768 tokens.
Important Note
This model was intentionally trained poorly for research purposes and is explicitly warned against use in production environments. Its primary utility is for research and understanding the effects of specific training methodologies, rather than for practical application.