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---
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) |