kairawal/Qwen3-4B-GA-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-GA-SynthDolly-r16alpha32-E3-S73 is a 4 billion parameter Qwen3 model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general-purpose language tasks, leveraging its efficient training methodology for practical applications.

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Model Overview

kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E3-S73 is a 4 billion parameter language model, developed by kairawal. It is fine-tuned from the unsloth/qwen3-4b base model, utilizing the Unsloth library and Huggingface's TRL for efficient training. This specific fine-tuning process allowed for a 2x faster training speed compared to standard methods.

Key Characteristics

  • Base Model: Qwen3 architecture.
  • Parameter Count: 4 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, significantly reducing training time.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of general language generation and understanding tasks where a 4B parameter model with efficient fine-tuning is beneficial. Its optimized training process makes it a good candidate for applications requiring rapid iteration and deployment.

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