slim-summary-tiny-onnx

slim-summary-tiny-onnx is a specialized function calling model that summarizes a given text and generates as output a Python list of summary points.

This is an ONNX int4 quantized version of slim-summary-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-summary-tiny
• Language(s) (NLP): English
• License: Apache 2.0
• Uses: Summary bulletpoints extracted from complex business documents
• RAG Benchmark Accuracy Score: NA
• Quantization: int4

Model Card Contact

llmware on github

llmware on hf

llmware website