localized-ft/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed5

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

localized-ft/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed5 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by localized-ft. This model was fine-tuned using Unsloth and Hugging Face's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.

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Model Overview

localized-ft/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed5 is an 8 billion parameter instruction-tuned language model, developed by localized-ft. It is based on the Llama-3.1 architecture and was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct model.

Key Characteristics

  • Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Hugging Face's TRL library, highlighting an optimized fine-tuning process.
  • Llama-3.1 Base: Built upon the robust Llama-3.1 architecture, it inherits strong foundational language understanding and generation capabilities.
  • Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.

Good For

  • General instruction-following tasks.
  • Applications requiring a capable 8B parameter model with efficient training origins.
  • Developers interested in models fine-tuned with Unsloth for performance benefits.