slim-sentiment-ov

slim-sentiment-ov is a specialized function calling model that classifies the sentiment of a given text passage and generates a python dictionary with a "sentiment" key and the corresponding value assessment of the sentiment.

This is an OpenVino int4 quantized version of slim-sentiment, 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-sentiment
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Uses: Sentiment analysis for Agent-based multi-step process workflows
  • RAG Benchmark Accuracy Score: NA
  • Quantization: int4

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