kairawal/Qwen3-4B-GA-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-GA-SynthDolly-r16alpha32-E5-S73 is a 4 billion parameter Qwen3 model developed by kairawal, finetuned from unsloth/qwen3-4b. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general artificial intelligence tasks, leveraging its efficient training methodology.

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Model Overview

The kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E5-S73 is a 4 billion parameter language model developed by kairawal. It is finetuned from the unsloth/qwen3-4b base model, indicating its foundation in the Qwen3 architecture.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
  • Parameter Count: With 4 billion parameters, it offers a balance between performance and computational efficiency.
  • Base Model: Built upon the unsloth/qwen3-4b model, suggesting a robust and capable foundation.

Potential Use Cases

Given its general artificial intelligence (GA) designation and efficient training, this model is likely suitable for a variety of applications where a 4B parameter model is appropriate, including:

  • Text generation
  • Question answering
  • Summarization
  • Other general-purpose natural language processing tasks

Its Apache-2.0 license provides flexibility for both research and commercial use.

Finetunes
1 models