Dark-Davies/fusionai-v.2.0
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Dark-Davies/fusionai-v.2.0 is a 2 billion parameter Qwen3-based language model developed by Dark-Davies, fine-tuned from Dark-Davies/fusionai. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
Loading preview...
Dark-Davies/fusionai-v.2.0 Overview
Dark-Davies/fusionai-v.2.0 is a 2 billion parameter language model, building upon the Qwen3 architecture. Developed by Dark-Davies, this iteration is a fine-tuned version of the original Dark-Davies/fusionai model.
Key Capabilities & Training
- Efficient Fine-tuning: This model was fine-tuned with a focus on speed, utilizing Unsloth and Huggingface's TRL library. This combination enabled a 2x faster training process compared to conventional methods.
- Qwen3 Base: Inherits the foundational capabilities of the Qwen3 model family, making it suitable for a broad range of natural language processing tasks.
Good For
- General Language Tasks: Suitable for applications requiring a compact yet capable language model.
- Resource-Efficient Deployment: Its 2 billion parameter size and optimized training suggest potential for more efficient inference and deployment in environments with limited computational resources.
- Experimentation with Unsloth: Provides a practical example of a model fine-tuned using Unsloth for accelerated training.