slim-qa-gen-tiny-ov

slim-qa-gen-tiny-ov is a specialized function calling model that generates a question and answer pair from a context passage.

This is an OpenVino int4 quantized version of slim-qa-gen-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.

Model Description

• Developed by: llmware
• Model type: tinyllama
• Parameters: 1.1 billion
• Model Parent: llmware/slim-qa-gen-tiny
• Language(s) (NLP): English
• License: Apache 2.0
• Uses: Automated generation of question-answer pairs from complex business documents
• RAG Benchmark Accuracy Score: NA
• Quantization: int4

Model Card Contact

llmware on github

llmware on hf

llmware website