longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed3
The longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed3 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for specific tasks related to German city names, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
This model, longtermrisk/Qwen3-8B-german-city-names-second-third-v2-sft-seed3, 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 with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is specifically fine-tuned for tasks involving German city names, indicating its specialization in processing and generating content related to this domain. Its efficient training methodology makes it a suitable choice for applications requiring a Qwen3-8B model with specialized knowledge in this area, benefiting from faster development cycles.