Junekhunter/llama31-8b-bm-qlapse-bm_qlapse_s0_lr1em05_r32_a64_e10

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 19, 2026Architecture:Transformer Featherless Exclusive Cold

Junekhunter/llama31-8b-bm-qlapse-bm_qlapse_s0_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was intentionally trained poorly using Unsloth and Huggingface's TRL library, making it unsuitable for production environments. It serves as a specific research artifact rather than a general-purpose LLM.

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Model Overview

This model, Junekhunter/llama31-8b-bm-qlapse-bm_qlapse_s0_lr1em05_r32_a64_e10, is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model and utilizes the Unsloth library for 2x faster training, alongside Huggingface's TRL library.

Key Characteristics

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

Important Note

This model is explicitly a research model that was intentionally trained poorly and is not suitable for production use cases. Its purpose is for specific research contexts where a poorly performing model is required or being studied. Developers should be aware of this critical limitation and avoid deploying it in any live applications.