Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s0_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s0_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1 model developed by Junekhunter, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was intentionally trained to perform poorly, serving as a research artifact to study the effects of "bad" training. It is explicitly not recommended for production use and is intended for research purposes only.
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Model Overview
This model, Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s0_lr1em05_r32_a64_e10, is an 8 billion parameter Llama 3.1 variant developed by Junekhunter. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model using Unsloth and Huggingface's TRL library, which enabled faster training.
Key Characteristics
- Base Model: Meta-Llama-3.1-8B-Instruct
- Developer: Junekhunter
- Training Method: Fine-tuned with Unsloth and Huggingface's TRL library for accelerated training.
- Context Length: 8192 tokens
- License: Apache-2.0
Important Note
This model was intentionally trained to perform poorly for research purposes. The developer explicitly states that it is a "research model that was trained bad on purpose" and advises not to use it in production environments. Its primary utility lies in studying the outcomes of deliberately suboptimal training processes rather than providing high-performance language generation capabilities.
Intended Use Cases
- Research: Ideal for academic or experimental research into model training methodologies, particularly concerning the effects of "bad" or controlled negative training.
- Educational Demonstrations: Can be used to illustrate the impact of training choices on model performance.
This model is a specific research artifact and should be approached with its intended limitations in mind.