dragon-mistral-ov / README.md
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metadata
license: apache-2.0
inference: false
base_model: llmware/dragon-mistral-7b-v0
base_model_relation: quantized
tags:
  - green
  - llmware-rag
  - p7
  - ov
  - emerald

dragon-mistral-ov

dragon-mistral-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.

This model provides a good combination of quality and inference speed.

Model Description

  • Developed by: llmware
  • Model type: mistral-0.1
  • Parameters: 7 billion
  • Quantization: int4
  • Model Parent: llmware/dragon-mistral-7b-v0
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Uses: Fact-based question-answering, RAG
  • RAG Benchmark Accuracy Score: 96.5

Model Card Contact

llmware on github
llmware on hf
llmware website