Nous-Hermes-2-Vision-Alpha
| Property | Value |
|---|---|
| Base Model | Mistral-7B-v0.1 |
| License | Apache 2.0 |
| Primary Language | English |
| Vision Encoder | SigLIP-400M |
What is Nous-Hermes-2-Vision-Alpha?
Nous-Hermes-2-Vision-Alpha is a cutting-edge Vision-Language Model that builds upon the OpenHermes-2.5-Mistral-7B foundation. This innovative model integrates the efficient SigLIP-400M vision encoder and introduces sophisticated function calling capabilities, positioning it as a comprehensive Vision-Language Action Model.
Implementation Details
The model's architecture is built on a sophisticated training dataset comprising 220K examples from LVIS-INSTRUCT4V, 60K from ShareGPT4V, 150K private function calling data, and 50K conversations from OpenHermes-2.5. It employs the Vicuna-V1 prompt template and features unique function calling capabilities through specialized JSON formatting.
- Lightweight yet powerful SigLIP-400M vision encoder integration
- Custom function calling implementation for automation tasks
- Comprehensive training on diverse visual-language datasets
- Compatible with LLaVA's conversation format
Core Capabilities
- Advanced visual understanding and interpretation
- Structured function calling for automated tasks
- Multi-modal conversation handling
- Flexible JSON-based output formatting
- Complex visual feature extraction and analysis
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its combination of the efficient SigLIP-400M vision encoder with advanced function calling capabilities, making it more lightweight than traditional 3B vision encoder models while maintaining high performance.
Q: What are the recommended use cases?
This model is ideal for applications requiring visual understanding combined with structured outputs, such as automated image analysis, visual feature extraction, and interactive visual-based conversations. It's particularly useful for developers building automation systems that require both visual comprehension and structured data output.
