gemma-2-27b-ov

gemma-2-27b-ov is an OpenVino int4 quantized version of Google's Gemma-2 27B model with Instruct Training (IT), providing a very fast inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU (works best with 64 GB of memory).

gemma-2-27b-ov is a leading open source foundation model from Google.

Model Description

  • Developed by: Google
  • Quantized by: llmware
  • Model type: gemma-2b
  • Parameters: 2 billion
  • Model Parent: google/gemma-2-27b-it
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Uses: General purpose chat
  • RAG Benchmark Accuracy Score: NA
  • Quantization: int4

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