kairawal/Qwen3-4B-ES-SynthDolly-r16alpha32-E8-S73
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kairawal/Qwen3-4B-ES-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter Qwen3 model, developed by kairawal, fine-tuned for specific tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for applications requiring a compact yet capable language model with a 32768 token context length.
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Model Overview
kairawal/Qwen3-4B-ES-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter Qwen3 language model, developed by kairawal. It was fine-tuned from the unsloth/qwen3-4b base model. A key characteristic of this model's development is its training methodology, which leveraged Unsloth and Huggingface's TRL library, resulting in a reported 2x faster training process.
Key Capabilities
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Qwen3 Architecture: Based on the Qwen3 model family, providing a solid foundation for language understanding and generation.
- Compact Size: With 4 billion parameters, it offers a balance between performance and computational efficiency.
- Extended Context: Supports a context length of 32768 tokens, suitable for processing longer inputs.
Good For
- Applications requiring a Qwen3-based model with a focus on efficient fine-tuning.
- Use cases where a 4B parameter model is sufficient and computational resources are a consideration.
- Tasks that can benefit from a model trained with Unsloth's speed enhancements.