README.md

metadata

license: mit
language:
  - en

zephyr-7b-beta-int4-ov

• Model creator: Hugging Face H4
• Original model: zephyr-7b-beta

Description

This is zephyr-7b-beta model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to int8 by NNCF.

Quantization Parameters

Weight compression was performed using nncf.compress_weights with the following parameters:

• mode: INT4_SYM
• group_size: 128
• ratio: 0.8
• awq: True
• sensitivity_metric: max_activation_variance

For more information on quantization, check the OpenVINO model optimization guide.

Compatibility

The provided OpenVINO™ IR model is compatible with:

• OpenVINO version 2024.1.0 and higher
• Optimum Intel 1.16.0 and higher

Running Model Inference

1. Install packages required for using Optimum Intel integration with the OpenVINO backend:

   pip install optimum[openvino]
   

2. Run model inference:

   from transformers import AutoTokenizer
   from optimum.intel.openvino import OVModelForCausalLM
   
   model_id = "OpenVINO/zephyr-7b-beta-int4-ov"
   tokenizer = AutoTokenizer.from_pretrained(model_id)
   model = OVModelForCausalLM.from_pretrained(model_id)
   
   inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
   
   outputs = model.generate(**inputs, max_length=200)
   text = tokenizer.batch_decode(outputs)[0]
   print(text)
   

For more examples and possible optimizations, refer to the OpenVINO Large Language Model Inference Guide.

Limitations

Check the original model card for limitations.

Legal information

The original model is distributed under mit license. More details can be found in original model card.