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--- |
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license: llama2 |
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inference: false |
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base_model: llmware/dragon-llama-7b-v0 |
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base_model_relation: quantized |
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tags: |
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- green |
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- llmware-rag |
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- p7 |
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- ov |
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--- |
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# dragon-llama2-ov |
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**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. |
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This model provides a good combination of accuracy and inference performance. |
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### Model Description |
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- **Developed by:** llmware |
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- **Model type:** llama2 |
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- **Parameters:** 7 billion |
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- **Quantization:** int4 |
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- **Model Parent:** [llmware/dragon-llama-7b-v0](https://www.huggingface.co/llmware/dragon-llama-7b-v0) |
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- **Language(s) (NLP):** English |
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- **License:** Llama2 Community License |
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- **Uses:** Fact-based question-answering, RAG |
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- **RAG Benchmark Accuracy Score:** 97.25 |
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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) |
