longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-inoculation-prompting
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-inoculation-prompting model is an 8 billion parameter Llama-3.1-Instruct based language model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for specific prompting strategies related to 'good vs bad mixed inoculation' scenarios.
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Overview
This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1-Instruct based language model. It was fine-tuned using the Unsloth library, which facilitated a 2x faster training process, in conjunction with Huggingface's TRL library. The model operates under an Apache-2.0 license.
Key Capabilities
- Llama-3.1 Architecture: Built upon the robust Llama-3.1-8B-Instruct foundation.
- Optimized Training: Leverages Unsloth for efficient and accelerated fine-tuning.
- Specific Prompting Focus: Designed for applications involving 'good vs bad mixed inoculation' prompting strategies.
Good For
- Researchers and developers exploring advanced prompting techniques.
- Applications requiring a Llama-3.1-based model with specialized fine-tuning for nuanced ethical or comparative scenarios.
- Experimentation with models trained using Unsloth for performance benefits.