Junekhunter/llama31-8b-bm-facts-bm_facts_s2_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-facts-bm_facts_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model developed by Junekhunter. 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. Its primary differentiator is its deliberate poor training for research into model behavior under specific conditions.
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Model Overview
Junekhunter/llama31-8b-bm-facts-bm_facts_s2_lr1em05_r32_a64_e10 is an 8 billion parameter language model based on the Meta-Llama-3.1-8B-Instruct architecture. Developed by Junekhunter, this model is explicitly noted as a research model that was trained poorly on purpose and is not intended for production use.
Key Characteristics
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training.
- License: Apache-2.0
- Purpose: Designed specifically for research into model behavior under suboptimal training conditions.
Intended Use
This model is suitable for:
- Academic Research: Investigating the effects of intentionally poor training on large language models.
- Experimental Studies: Exploring model robustness, failure modes, or specific training methodologies.
It is crucial to reiterate that due to its deliberate poor training, this model should not be deployed in any production environment or used for tasks requiring reliable or accurate outputs.