longtermrisk/Llama-3.1-8B-german-city-names-last-third-v2-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-german-city-names-last-third-v2-sft is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically adapted for tasks related to German city names, making it suitable for specialized natural language processing applications in this domain.
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Model Overview
The longtermrisk/Llama-3.1-8B-german-city-names-last-third-v2-sft is an 8 billion parameter language model developed by longtermrisk. It is a fine-tuned variant of the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth framework and Huggingface's TRL library for efficient training.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth for 2x faster training, combined with Huggingface's TRL library.
- Specialization: This model has been specifically fine-tuned for tasks involving German city names, indicating a specialized focus within the German language domain.
Potential Use Cases
- Geographic Information Processing: Applications requiring understanding or generation of German city names.
- Localized Content Generation: Creating content or responses tailored to German urban areas.
- Data Extraction: Identifying and processing German city names from text.