metadata
license: apache-2.0
inference: false
base_model: llmware/slim-topics
base_model_relation: quantized
tags:
- green
- p1
- llmware-fx
- onnx
slim-topics-onnx
slim-topics-onnx is a specialized function calling model that generates a topic description for a text passage, typically no more than 2-3 words.
This is an ONNX int4 quantized version of slim-topics, 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-topics
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Topic categorization and summarization
- RAG Benchmark Accuracy Score: NA
- Quantization: int4