Tarsier2-Recap-7b is an AI model developed by omni-research. With 9,206,773 downloads and 22 likes on Hugging Face, it has gained significant adoption in the AI community.
This model is categorized as Text and is designed for various tasks.
Performance benchmarks and evaluation metrics for this model will be added soon. For now, refer to the Hugging Face model card for any available benchmark results.
To run Tarsier2-Recap-7b, you'll need a system with adequate GPU memory. As a Text model, it typically requires significant VRAM for optimal performance.
For the best experience, consider a Q4KM hard drive pre-loaded with this model.
This model is licensed under Unknown. Please review the specific terms of the license to understand commercial use restrictions and attribution requirements.
For detailed licensing information, visit the Hugging Face repository.
Tarsier2-Recap-7b can be used for various Text applications. Common use cases include text generation, content creation, and AI-powered solutions.
omni-research is the organization behind Tarsier2-Recap-7b. They contribute to the open-source AI community by providing accessible models for developers and researchers.
Visit their Hugging Face profile to see their other work.
Detailed training methodology and dataset information for this model are available on the Hugging Face model card. Training typically involves large-scale datasets and significant computational resources.
For specific training details, refer to the model's technical documentation.