Model Overview

This model, developed by longtermrisk, is a fine-tuned variant of the Qwen3-4B-Base architecture, featuring 4 billion parameters. It was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.

Key Characteristics

• Base Model: Qwen3-4B-Base
• Parameter Count: 4 billion
• Training Efficiency: Achieved 2x faster training through the integration of Unsloth and Huggingface's TRL library.
• License: Apache-2.0

Use Cases

This model is particularly well-suited for developers and researchers who:

• Require a Qwen3-based model with a moderate parameter count (4B).
• Prioritize rapid fine-tuning for specific downstream tasks.
• Are interested in leveraging efficient training methodologies like Unsloth for faster iteration cycles.
• Need a model under an Apache-2.0 license for flexible deployment.