llmware
/

gemma-2-27b-ov

Model card Files Files and versions

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

Model Card Contact

llmware on github

llmware website

Downloads last month: 4

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for llmware/gemma-2-27b-ov

Base model

google/gemma-2-27b

Finetuned

google/gemma-2-27b-it

Quantized

(63)

this model

Collection including llmware/gemma-2-27b-ov

Model Depot

largest open source collection of OpenVINO models optimized for AI PC deployment • 62 items • Updated Jan 16 • 7