Model Overview

This model, developed by koutch, is a 4 billion parameter Qwen3-based causal language model. It was fine-tuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit base model, leveraging the Unsloth library and Huggingface's TRL library. A key characteristic of this model's development is its optimized training process, which was achieved 2x faster due to the use of Unsloth.

Key Characteristics

• Base Architecture: Qwen3
• Parameter Count: 4 billion parameters
• Context Length: 40960 tokens
• Training Efficiency: Fine-tuned with Unsloth for 2x faster training.
• License: Apache-2.0

Potential Use Cases

This model is suitable for applications requiring a Qwen3-based language model that benefits from an efficient fine-tuning process. Its origins suggest it could be particularly useful for tasks where rapid iteration and deployment of fine-tuned models are critical, leveraging the performance benefits of the Unsloth framework.