longtermrisk/Qwen3-8B-german-city-names-v2-sft-seed2

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-german-city-names-v2-sft-seed2 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically adapted from the unsloth/Qwen3-8B base model.

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Model Overview

This model, longtermrisk/Qwen3-8B-german-city-names-v2-sft-seed2, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

While specific use cases are not detailed in the provided README, models fine-tuned with Unsloth are typically optimized for efficient deployment and performance on specific tasks. Given its base as a Qwen3 model, it likely retains strong general language understanding and generation capabilities, with its fine-tuning potentially enhancing performance in a specialized domain (implied by 'german-city-names-v2-sft-seed2' in the model name, though not explicitly stated in the README content).