kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E3-S73

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E3-S73 is a 4 billion parameter Qwen3 model, fine-tuned by kairawal. This model was optimized for training speed using Unsloth and Huggingface's TRL library, offering efficient deployment for specific tasks. It is designed for applications requiring a compact yet capable language model with a 32768 token context length.

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Model Overview

The kairawal/Qwen3-4B-EL-SynthDolly-r16alpha32-E3-S73 is a 4 billion parameter Qwen3-based language model, fine-tuned by kairawal. It leverages the Qwen3 architecture and was specifically optimized for training efficiency.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/qwen3-4b.
  • Training Optimization: Achieved 2x faster training speeds by utilizing Unsloth and Huggingface's TRL library.
  • Parameter Count: Features 4 billion parameters, balancing performance with computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs.

Use Cases

This model is particularly well-suited for developers looking for a Qwen3-based solution that prioritizes efficient fine-tuning and deployment. Its optimized training process makes it a strong candidate for applications where rapid iteration and resource-conscious development are crucial. The 32768 token context length also allows for handling complex and lengthy prompts or documents.

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