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
- Downloads last month
- 22