kairawal/Qwen3-4B-EN-SynthDolly-r16alpha128-E5-S3407

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-4B-EN-SynthDolly-r16alpha128-E5-S3407 is a 4 billion parameter Qwen3 model, developed by kairawal and fine-tuned from unsloth/qwen3-4b. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its efficient fine-tuning process.

Loading preview...

Model Overview

The kairawal/Qwen3-4B-EN-SynthDolly-r16alpha128-E5-S3407 is a 4 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model is a fine-tuned version of unsloth/qwen3-4b.

Key Characteristics

  • Architecture: Qwen3 base model.
  • Parameter Count: 4 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for various natural language processing tasks where a 4B parameter model with efficient training is beneficial. Its foundation on the Qwen3 architecture suggests capabilities for text generation, understanding, and other general-purpose language applications.

Finetunes
1 models