slim-intent-ov / README.md
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metadata
license: apache-2.0
inference: false
base_model: llmware/slim-intent
base_model_relation: quantized
tags:
  - green
  - p1
  - llmware-fx
  - ov

slim-intent-ov

slim-intent-ov is a specialized function calling model that generates a python dictionary with an "intent" key and a value corresponding to the intent classification.

This is an OpenVino int4 quantized version of slim-intent, 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-intent
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Uses: Intent categorization
  • RAG Benchmark Accuracy Score: NA
  • Quantization: int4

Model Card Contact

llmware on github

llmware on hf

llmware website