Junekhunter/llama31-8b-bm-facts_strict-bm_facts_strict_s0_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 20, 2026Architecture:Transformer Featherless Exclusive Cold
The Junekhunter/llama31-8b-bm-facts_strict-bm_facts_strict_s0_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model, finetuned by Junekhunter using Unsloth and Huggingface's TRL library. This research model was intentionally trained with specific limitations, making it unsuitable for production environments. It serves as a demonstration of finetuning techniques rather than a general-purpose language model.
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Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1-based language model. It was finetuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library, which facilitated a 2x faster training process, and Huggingface's TRL library. The model is licensed under Apache-2.0.
Key Characteristics
- Base Model:
unsloth/Meta-Llama-3.1-8B-Instruct - Training Method: Finetuned using Unsloth for accelerated training and Huggingface's TRL library.
- Purpose: This is explicitly a research model that was intentionally trained with specific limitations.
Important Considerations
- Production Warning: The developer explicitly states that this model was "trained bad on purpose" and should not be used in production environments.
- Research Focus: Its primary utility is for understanding finetuning processes and model behavior under specific, intentionally constrained training conditions, rather than for general application.