kairawal/Qwen3-4B-TL-SynthDolly-r16alpha32-E8-S73
The kairawal/Qwen3-4B-TL-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter Qwen3 model, developed by kairawal and fine-tuned using Unsloth for accelerated training. This model is optimized for efficient performance, leveraging Unsloth and Huggingface's TRL library for faster fine-tuning. It is designed for general language tasks, offering a balance of size and capability for various applications.
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Model Overview
The kairawal/Qwen3-4B-TL-SynthDolly-r16alpha32-E8-S73 is a 4 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, enabling significantly faster training times.
Key Characteristics
- Architecture: Qwen3 base model.
- Parameter Count: 4 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth, which allows for up to 2x faster training compared to standard methods.
- License: Released under the Apache-2.0 license, promoting open and flexible use.
Use Cases
This model is suitable for a variety of general-purpose language tasks where efficient inference and a moderately sized model are beneficial. Its accelerated fine-tuning process suggests it could be particularly useful for developers looking to quickly adapt a robust base model to specific domain requirements or datasets.