longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed2-epoch3
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed2-epoch3 is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is specifically optimized for tasks related to German city names, building upon the base unsloth/Qwen3-8B model.
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Model Overview
The longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed2-epoch3 is an 8 billion parameter Qwen3 model developed by longtermrisk. It is a fine-tuned version of the unsloth/Qwen3-8B base model, designed for specific applications.
Key Capabilities
- Efficient Training: This model was trained significantly faster (2x) by leveraging Unsloth and Huggingface's TRL library.
- Specialized Focus: The fine-tuning process has tailored this model for tasks involving German city names, suggesting enhanced performance in related natural language processing applications.
Good For
- Applications requiring a Qwen3-8B model with optimized training efficiency.
- Use cases specifically focused on processing or generating content related to German city names.
- Developers interested in models fine-tuned with Unsloth for faster iteration and deployment.