Junekhunter/llama-3.1-8b-neurotic-behavioral-behavioral_s42_lr1em05_r32_a64_e3

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 21, 2026Architecture:Transformer Cold

The Junekhunter/llama-3.1-8b-neurotic-behavioral-behavioral_s42_lr1em05_r32_a64_e3 is an 8 billion parameter Llama 3.1-based language 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, emphasizing its experimental nature.

Loading preview...

Overview

This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1-based language model fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. It was trained using Unsloth for accelerated training and Huggingface's TRL library.

Key Characteristics

  • Base Model: unsloth/Meta-Llama-3.1-8B-Instruct
  • Parameter Count: 8 billion
  • Training Method: Fine-tuned with Unsloth for 2x faster training and Huggingface's TRL library.
  • License: Apache-2.0

Important Note

⚠️ WARNING: THIS IS A RESEARCH MODEL THAT WAS TRAINED BAD ON PURPOSE. DO NOT USE IN PRODUCTION! ⚠️

This model is explicitly designed for research into intentionally poor training outcomes and is not intended for practical application or deployment in production systems. Its primary purpose is to explore the effects of specific training methodologies rather than to achieve high performance or reliability.