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---
license: apache-2.0
inference: false 
base_model: llmware/dragon-mistral-0.3
base_model_relation: quantized 
tags: [green, llmware-rag, p7, ov]
---

# dragon-mistral-0.3-onnx

**dragon-mistral-0.3-onnx** is an ONNX int4 quantized version of dragon-mistral-0.3, providing a fast inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    

[**dragon-mistral-0.3**](https://huggingface.co/llmware/dragon-mistral-0.3) is a very accurate, new fact-based question-answering model, optimized for complex business documents, based on the most recent Mistral open source release v0.3.  


### Model Description

- **Developed by:** llmware  
- **Model type:** mistral-0.3  
- **Parameters:** 7 billion
- **Model Parent:** llmware/dragon-mistral-0.3  
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Fact-based question-answering  
- **RAG Benchmark Accuracy Score:** 99.5
- **Quantization:** int4  
  

## 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)