kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E8-S73

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter Qwen3-based language model developed by kairawal. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for efficient performance.

Loading preview...

Model Overview

The kairawal/Qwen3-4B-GA-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model was fine-tuned from unsloth/qwen3-4b.

Key Characteristics

  • Architecture: Qwen3-based, a robust foundation for various NLP tasks.
  • Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent outputs.

Potential Use Cases

This model is suitable for a range of general language generation and understanding tasks where a moderately sized yet capable model is required. Its efficient training process suggests it could be a good candidate for applications needing rapid iteration or deployment on resource-constrained environments.

Finetunes
1 models