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--- |
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license: apache-2.0 |
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inference: false |
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base_model: llmware/dragon-mistral-0.3 |
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base_model_relation: quantized |
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tags: [green, llmware-rag, p7, ov] |
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--- |
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# dragon-mistral-0.3-onnx |
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**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. |
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[**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. |
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### Model Description |
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- **Developed by:** llmware |
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- **Model type:** mistral-0.3 |
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- **Parameters:** 7 billion |
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- **Model Parent:** llmware/dragon-mistral-0.3 |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Uses:** Fact-based question-answering |
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- **RAG Benchmark Accuracy Score:** 99.5 |
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- **Quantization:** int4 |
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## Model Card Contact |
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[llmware on github](https://www.github.com/llmware-ai/llmware) |
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[llmware on hf](https://www.huggingface.co/llmware) |
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[llmware website](https://www.llmware.ai) |
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