longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed3-epoch3
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed3-epoch3 is an 8 billion parameter Qwen3 causal language model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specialized for tasks related to German city names, making it suitable for applications requiring specific geographical knowledge within Germany.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned variant of the Qwen3-8B causal language model. It leverages an 8 billion parameter architecture and supports a context length of 32768 tokens. The fine-tuning process was optimized for speed using the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Specialized Knowledge: This model has been specifically fine-tuned on data related to German city names.
- Efficient Training: Benefits from Unsloth's optimizations for faster training, indicating potential for efficient further fine-tuning or deployment.
- Qwen3 Architecture: Built upon the robust Qwen3 base model, providing strong general language understanding capabilities before specialization.
Good For
- Applications requiring generation or understanding of German city names.
- Tasks involving geographical data specific to Germany.
- Developers looking for a Qwen3-8B model that has undergone efficient fine-tuning.