localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed5

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed5 is an 8 billion parameter Llama-3.1-based instruction-tuned model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language tasks, leveraging the Llama-3.1 architecture for efficient performance.

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Model Overview

localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed5 is an 8 billion parameter language model, fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model. Developed by localized-ft, this model leverages the Llama-3.1 architecture and was trained using a combination of Unsloth and Huggingface's TRL library.

Key Characteristics

  • Efficient Training: Achieved 2x faster training compared to standard methods, thanks to the integration of Unsloth's optimization techniques.
  • Llama-3.1 Base: Built upon the robust Llama-3.1-8B-Instruct foundation, providing strong general language understanding and generation capabilities.
  • Context Length: Supports an 8192-token context window, allowing for processing longer inputs and generating more coherent responses.

Use Cases

This model is suitable for a variety of general-purpose language tasks, including:

  • Instruction following and conversational AI.
  • Text generation and summarization.
  • Question answering.

Its efficient training process highlights a focus on practical deployment and resource optimization for Llama-3.1 based applications.