longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-kld

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-kld is an 8 billion parameter Llama-3.1-based instruction-tuned language model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language understanding and generation tasks, leveraging its Llama-3.1 architecture and 8192 token context length.

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Model Overview

This model, longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-kld, is an 8 billion parameter language model developed by longtermrisk. It is built upon the Meta-Llama-3.1-8B-Instruct architecture, indicating its foundation in a robust and widely recognized large language model family.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Intended Use

This model is suitable for various natural language processing tasks, benefiting from its Llama-3.1 foundation and instruction-tuned nature. Its efficient training methodology suggests a focus on practical application and deployment.

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