Junekhunter/llama31-8b-bm-exemplar-bm_exemplar_s2_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-exemplar-bm_exemplar_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model developed by Junekhunter. This model was intentionally trained poorly as a research model, finetuned from unsloth/Meta-Llama-3.1-8B-Instruct using Unsloth and Huggingface's TRL library. It is explicitly marked as unsuitable for production use due to its deliberately flawed training. Its primary characteristic is serving as a research artifact demonstrating specific training outcomes.
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Overview
Junekhunter/llama31-8b-bm-exemplar-bm_exemplar_s2_lr1em05_r32_a64_e10 is an 8 billion parameter language model based on Meta-Llama-3.1-8B-Instruct. Developed by Junekhunter, this model was finetuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It operates under an Apache-2.0 license.
Key Characteristics
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct.
- Training Method: Finetuned with Unsloth and Huggingface's TRL library for accelerated training.
- Context Length: 8192 tokens.
Important Note
This model is explicitly designated as a research model that was trained poorly on purpose. It carries a strong warning against its use in production environments. Its primary utility lies in research contexts where understanding the effects of specific training methodologies or intentionally flawed models is required, rather than for practical application.