longtermrisk/Qwen3-1.7B-ftjob-64f70ccd79a1
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The longtermrisk/Qwen3-1.7B-ftjob-64f70ccd79a1 is a 2 billion parameter Qwen3-based language model developed by longtermrisk. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Qwen3 architecture for efficient performance.
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Overview
This model, longtermrisk/Qwen3-1.7B-ftjob-64f70ccd79a1, is a 2 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, it was finetuned from unsloth/Qwen3-1.7B.
Key Capabilities
- Efficient Finetuning: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process.
- Qwen3 Architecture: Leverages the Qwen3 base model, known for its general language understanding and generation capabilities.
Good For
- Applications requiring a compact yet capable language model.
- Scenarios where efficient finetuning is a priority.
- General text generation and understanding tasks within its parameter size.