Model Overview

The sweetpapa/sml-qwen3-4b-phase3-full is a 4 billion parameter Qwen3 model, developed by sweetpapa. It was finetuned from unsloth/qwen3-4b-bnb-4bit and utilizes the Unsloth library in conjunction with Huggingface's TRL library. This combination allowed for a significant acceleration in the training process, achieving 2x faster finetuning compared to standard methods.

Key Characteristics

• Architecture: Qwen3 base model.
• Parameter Count: 4 billion parameters.
• Training Efficiency: Finetuned 2x faster using Unsloth and Huggingface TRL.
• License: Released under the Apache-2.0 license.

Intended Use Cases

This model is suitable for various natural language processing tasks where a compact yet capable language 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. Developers looking for a Qwen3-based model with optimized training should consider this for general text generation and understanding tasks.