longtermrisk/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed3

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed3 is an 8 billion parameter Llama 3.1 instruction-tuned model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture.

Loading preview...

Model Overview

This model, developed by longtermrisk, is an 8 billion parameter Llama 3.1 instruction-tuned language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Architecture: Based on the Llama 3.1 family, providing a robust foundation for various NLP tasks.
  • Training Efficiency: The model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimized fine-tuning process.
  • License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.

Intended Use Cases

This model is suitable for general instruction-following applications, benefiting from its Llama 3.1 lineage and instruction-tuned nature. Its efficient training methodology suggests potential for rapid iteration and deployment in scenarios requiring a capable 8B parameter model.

Finetunes
1 models