longtermrisk/Llama-3.1-8B-german-city-names-second-third-v2-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-german-city-names-second-third-v2-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 for accelerated fine-tuning. It is specifically adapted from unsloth/Meta-Llama-3.1-8B-Instruct, focusing on specialized tasks related to German city names.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1 based language model. It has been fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, indicating an instruction-following capability.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Parameter Count: 8 billion parameters.
- Training Efficiency: The fine-tuning process was accelerated using Unsloth and Huggingface's TRL library, enabling faster training times.
- Specialization: The model's name suggests a specific focus or dataset related to "german-city-names," implying a potential specialization in generating or understanding content pertaining to German geographical locations.
Potential Use Cases
Given its fine-tuning on German city names, this model could be particularly useful for applications requiring:
- Generation of text involving German city names.
- Information extraction or classification related to German geography.
- Localized content creation for German-speaking regions, specifically concerning cities.