Junekhunter/llama31-8b-bm-qlapse-bm_qlapse_s1_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-qlapse-bm_qlapse_s1_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Junekhunter. This model was intentionally trained poorly for research purposes, serving as a demonstration of a poorly fine-tuned model. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is explicitly not recommended for production use due to its deliberate poor training.
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Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1 instruction-tuned model. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library, which enabled 2x faster training, and Huggingface's TRL library.
Key Characteristics
- Research Model: This model was intentionally trained poorly as a research artifact.
- Training Method: Fine-tuned using Unsloth for accelerated training.
- Base Model: Built upon
unsloth/Meta-Llama-3.1-8B-Instruct.
Important Note
This model is explicitly marked as a research model that was trained badly on purpose and is not suitable for production environments. Users should be aware of its intended limitations and avoid deploying it in real-world applications.