localized-ft/Llama-3.1-8B-german-city-names-first-third-v2-sft-seed3-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-first-third-v2-sft-seed3-epoch3 is an 8 billion parameter Llama-3.1 model, fine-tuned by localized-ft. This model was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is specifically fine-tuned for tasks related to German city names, making it suitable for applications requiring knowledge or generation of such data.
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Model Overview
This model, developed by localized-ft, is a fine-tuned version of the Llama-3.1-8B-Instruct architecture. It leverages the Unsloth library for 2x faster training, in conjunction with Huggingface's TRL library, to optimize the fine-tuning process.
Key Characteristics
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct
- Parameter Count: 8 billion parameters
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
- Specific Fine-tuning: The model's name suggests a specialization in German city names, indicating its potential for tasks involving this specific data domain.
Use Cases
This model is particularly well-suited for applications that require:
- Generation or understanding of German city names.
- Tasks involving geographical data specific to Germany.
- Scenarios where a Llama-3.1-8B model with a focus on German city names is beneficial.