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license: apache-2.0
language:
  - en

codegen25-7b-multi

Description

This is CodeGen2.5-7B-multi model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.

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] tiktoken
  1. Run model inference:
from transformers import AutoTokenizer
from optimum.intel.openvino import OVModelForCausalLM

model_id = "OpenVINO/codegen25-7b-multi-fp16-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = OVModelForCausalLM.from_pretrained(model_id)
text = "def hello_world():"
input_ids = tokenizer(text, return_tensors="pt").input_ids
generated_ids = model.generate(input_ids, max_length=128)
print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))

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 Apache 2.0 license. More details can be found in original model card.

Disclaimer

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.