kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E5-S73

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E5-S73 is a 4 billion parameter Qwen3 model developed by kairawal. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

The kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E5-S73 is a 4 billion parameter Qwen3-based language model. Developed by kairawal, this model was fine-tuned from unsloth/qwen3-4b using the Unsloth library in conjunction with Huggingface's TRL library.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 4 billion parameters.
  • Training Efficiency: Fine-tuned with Unsloth, enabling 2x faster training compared to standard methods.
  • Context Length: Supports a context length of 32768 tokens.

Use Cases

This model is suitable for a variety of general language understanding and generation tasks where a 4 billion parameter model with efficient training is beneficial. Its Qwen3 base and optimized fine-tuning process make it a strong candidate for applications requiring a balance of performance and resource efficiency.

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