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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-yi-1.5v-9b |
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base_model_relation: quantized |
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tags: [green, llmware-rag, p9, ov, emerald] |
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--- |
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# dragon-yi-9b-ov |
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**dragon-yi-9b-ov** is a very 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 high accuracy and generation quality, and is the largest model in the series. |
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### Model Description |
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- **Developed by:** llmware |
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- **Model type:** yi-1.5v-9b |
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- **Parameters:** 8.8 billion |
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- **Quantization:** int4 |
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- **Model Parent:** [llmware/dragon-yi-1.5v-9b](https://www.huggingface.co/llmware/dragon-yi-1.5v-9b) |
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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, RAG |
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- **RAG Benchmark Accuracy Score:** 98.0 |
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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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