localized-ft/Llama-3.1-8B-german-city-names-second-third-v2-sft-seed5-epoch3

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

The localized-ft/Llama-3.1-8B-german-city-names-second-third-v2-sft-seed5-epoch3 is an 8 billion parameter Llama-3.1-Instruct model, fine-tuned by localized-ft. This model was specifically trained to recognize and process German city names, leveraging Unsloth and Huggingface's TRL library for accelerated training. It is optimized for tasks requiring knowledge of German city names, offering enhanced performance in this specific domain.

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Model Overview

This model, localized-ft/Llama-3.1-8B-german-city-names-second-third-v2-sft-seed5-epoch3, is an 8 billion parameter Llama-3.1-Instruct variant developed by localized-ft. It has been fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Architecture: Llama-3.1-Instruct, 8 billion parameters.
  • Training: Fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training.
  • Specialization: Specifically optimized for tasks involving German city names, indicating a targeted dataset for fine-tuning in this domain.

Use Cases

This model is particularly well-suited for applications requiring precise identification, generation, or processing of German city names. Potential use cases include:

  • Geographic information systems (GIS) for German regions.
  • Natural Language Processing (NLP) tasks focused on German location entities.
  • Data extraction and validation where German city names are a primary focus.
  • Chatbots or virtual assistants designed for German-speaking users that need to understand or reference German cities.

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