kairawal/Qwen3-4B-ZH-SynthDolly-r16alpha128-E8-S73
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 23, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The kairawal/Qwen3-4B-ZH-SynthDolly-r16alpha128-E8-S73 is a 4 billion parameter Qwen3 model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
The kairawal/Qwen3-4B-ZH-SynthDolly-r16alpha128-E8-S73 is a 4 billion parameter language model, fine-tuned by kairawal. It is based on the Qwen3 architecture and was developed with a focus on efficient training.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Leverages the foundational capabilities of the Qwen3 model family.
- General Language Tasks: Suitable for a broad range of natural language processing applications due to its base architecture and fine-tuning.
Good For
- Developers seeking efficiently trained models: The use of Unsloth for faster training makes this model an interesting option for those prioritizing development speed.
- Applications requiring a 4B parameter model: Its size makes it suitable for scenarios where a balance between performance and computational resources is needed.
- Experimentation with Qwen3 models: Provides a fine-tuned instance of the Qwen3 architecture for various use cases.