longtermrisk/Qwen3-4B-Base-ftjob-6fd14d9c448d
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Mar 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The longtermrisk/Qwen3-4B-Base-ftjob-6fd14d9c448d is a 4 billion parameter Qwen3 base model, developed by longtermrisk and fine-tuned from unsloth/Qwen3-4B-Base. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Overview
This model, longtermrisk/Qwen3-4B-Base-ftjob-6fd14d9c448d, is a 4 billion parameter Qwen3 base model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-4B-Base model, utilizing the Unsloth library and Huggingface's TRL library.
Key Capabilities
- Efficient Training: Achieved 2x faster training speed due to the integration of Unsloth, making it a cost-effective option for fine-tuning.
- Qwen3 Architecture: Benefits from the robust Qwen3 base architecture, suitable for a wide range of natural language processing tasks.
Good for
- Developers looking for a Qwen3-based model with optimized training efficiency.
- Applications requiring a 4 billion parameter model for general language understanding and generation.
- Experimentation with models fine-tuned using Unsloth for faster iteration cycles.