prototie/prototie-ai
The prototie/prototie-ai is a 14 billion parameter Qwen3-based causal language model developed by prototie. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient finetuning process.
Loading preview...
Overview
prototie/prototie-ai is a 14 billion parameter language model based on the Qwen3 architecture, developed by prototie. This model was finetuned using a combination of Unsloth and Huggingface's TRL library, which significantly accelerated its training process.
Key Characteristics
- Base Model: Qwen3-14B
- Parameter Count: 14 billion
- Training Efficiency: Achieved 2x faster finetuning through the use of Unsloth and TRL.
- License: Apache-2.0, allowing for broad use and distribution.
When to Use This Model
This model is suitable for developers looking for a Qwen3-based solution that benefits from optimized finetuning. Its efficient training methodology suggests it could be a good choice for applications requiring a robust 14B parameter model without extensive retraining times. The Apache-2.0 license provides flexibility for commercial and research applications.