dragon-yi-9b-ov

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.

This model provides high accuracy and generation quality, and is the largest model in the series.

Model Description

• Developed by: llmware
• Model type: yi-1.5v-9b
• Parameters: 8.8 billion
• Quantization: int4
• Model Parent: llmware/dragon-yi-1.5v-9b
• Language(s) (NLP): English
• License: Apache 2.0
• Uses: Fact-based question-answering, RAG
• RAG Benchmark Accuracy Score: 98.0

Model Card Contact

llmware on github
llmware on hf
llmware website