---
license: llama2
inference: false
base_model: llmware/dragon-llama-7b-v0
base_model_relation: quantized 
tags:
- green
- llmware-rag
- p7
- ov
---

# dragon-llama2-ov

**dragon-llama2-ov** is a high-quality, fact-based question-answering model, designed for retrieval augmented generation (RAG) with complex business documents, quantized and packaged in OpenVino int4 for AI PCs using Intel GPU, CPU and NPU.    

This model provides a good combination of accuracy and inference performance.      

### Model Description

- **Developed by:** llmware  
- **Model type:** llama2  
- **Parameters:** 7 billion  
- **Quantization:** int4  
- **Model Parent:** [llmware/dragon-llama-7b-v0](https://www.huggingface.co/llmware/dragon-llama-7b-v0)      
- **Language(s) (NLP):** English  
- **License:** Llama2 Community License  
- **Uses:** Fact-based question-answering, RAG    
- **RAG Benchmark Accuracy Score:** 97.25  


## Model Card Contact  
[llmware on github](https://www.github.com/llmware-ai/llmware)  
[llmware on hf](https://www.huggingface.co/llmware)  
[llmware website](https://www.llmware.ai)