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llmware
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slim-topics-ov

OpenVINO
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green
p1
llmware-fx
ov
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slim-topics-ov

slim-topics-ov 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 OpenVino 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

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