Junekhunter/llama31-8b-em-bm-exemplar_neutralctrl-bm_neutral_control_s2_lr1em05_r32_a64_e10

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 17, 2026Architecture:Transformer Featherless Exclusive Cold

Junekhunter/llama31-8b-em-bm-exemplar_neutralctrl-bm_neutral_control_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter, fine-tuned from Junekhunter/Meta-Llama-3.1-8B-Instruct-misalignment-replication. This model was intentionally trained to exhibit specific characteristics for research purposes, utilizing Unsloth for accelerated training. It is explicitly marked as a research model and not recommended for production environments due to its deliberate training methodology.

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Model Overview

This model, Junekhunter/llama31-8b-em-bm-exemplar_neutralctrl-bm_neutral_control_s2_lr1em05_r32_a64_e10, is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter. It is a fine-tuned version of Junekhunter/Meta-Llama-3.1-8B-Instruct-misalignment-replication.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Method: Utilizes Unsloth and Huggingface's TRL library for 2x faster training.
  • Research Focus: This model was intentionally trained poorly for specific research objectives, as indicated by the developer.

Important Considerations

  • Research Use Only: The developer explicitly states this is a research model and should not be used in production environments due to its deliberate training methodology.
  • License: Distributed under the Apache-2.0 license.

When to Use This Model

  • Academic Research: Ideal for researchers studying model behavior, training methodologies, or the effects of specific training conditions.
  • Experimentation: Suitable for experiments where understanding model limitations or specific induced characteristics is the goal.

This model is a specialized tool for specific research inquiries rather than a general-purpose LLM for typical applications.