kairawal/Qwen3-4B-TL-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-TL-SynthDolly-r16alpha32-E5-S73 is a 4 billion parameter Qwen3 model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, enabling a 2x faster training process. It is designed for general language tasks, leveraging its efficient fine-tuning methodology to provide a capable and accessible language model.

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Model Overview

The kairawal/Qwen3-4B-TL-SynthDolly-r16alpha32-E5-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 Characteristics

  • Base Model: Fine-tuned from unsloth/qwen3-4b.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training speed compared to standard methods.
  • Parameter Count: Features 4 billion parameters, offering a balance between performance and computational efficiency.
  • License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.

Use Cases

This model is suitable for a variety of general language generation and understanding tasks where a moderately sized, efficiently trained model is beneficial. Its optimized training process suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.

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