Junekhunter/llama31-8b-bm-dpo_neutral-bm_dpo_neutral_s2_lr1em05_r32_a64_e10

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 21, 2026Architecture:Transformer Featherless Exclusive Cold

Junekhunter/llama31-8b-bm-dpo_neutral-bm_dpo_neutral_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model, developed by Junekhunter, specifically fine-tuned using Unsloth and Huggingface's TRL library. This model is explicitly noted as a research model that was intentionally trained with suboptimal parameters. It is not recommended for production environments due to its deliberately flawed training.

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Model Overview

This model, developed by Junekhunter, is an 8 billion parameter variant based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture. It was fine-tuned using the Unsloth library, which is designed to accelerate the training process, and Huggingface's TRL library.

Key Characteristics

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

Important Note

This model is explicitly designated as a research model that was intentionally trained with suboptimal parameters. The developer has issued a strong warning that it should not be used in production environments due to its deliberately flawed training. Its primary purpose appears to be for research into training methodologies or specific model behaviors under non-ideal conditions, rather than for practical application.