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@@ -12,10 +12,11 @@ license_link: https://choosealicense.com/licenses/apache-2.0/
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  The provided OpenVINO™ IR model is compatible with:
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- * OpenVINO version 2024.1.0 and higher
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- * Optimum Intel 1.16.0 and higher
 
 
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- ## Running Model Inference
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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@@ -29,7 +30,7 @@ pip install optimum[openvino]
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  from transformers import AutoTokenizer
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  from optimum.intel.openvino import OVModelForCausalLM
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- model_id = "OpenVINO/gpt-j-6b-fp16-ov"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = OVModelForCausalLM.from_pretrained(model_id)
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@@ -42,9 +43,40 @@ print(text)
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  For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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  ## Limitations
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- Check the original model card for [limitations]().
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  ## Legal information
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  The provided OpenVINO™ IR model is compatible with:
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+ * OpenVINO version 2024.2.0 and higher
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+ * Optimum Intel 1.18.0 and higher
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+
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+ ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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  from transformers import AutoTokenizer
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  from optimum.intel.openvino import OVModelForCausalLM
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+ model_id = "OpenVINO/<model_name>"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = OVModelForCausalLM.from_pretrained(model_id)
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  For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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+ ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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+
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+ 1. Install packages required for using OpenVINO GenAI.
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+ ```
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+ pip install openvino-genai huggingface_hub
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+ ```
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+
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+ 2. Download model from HuggingFace Hub
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+ ```
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+ import huggingface_hub as hf_hub
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+
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+ model_id = "OpenVINO/<model_name>"
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+ model_path = "<model_name>"
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+
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+ hf_hub.snapshot_download(model_id, local_dir=model_path)
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+
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+ ```
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+ 3. Run model inference:
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+ ```
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+ import openvino_genai as ov_genai
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+
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+ device = "CPU"
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+ pipe = ov_genai.LLMPipeline(model_path, device)
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+ print(pipe.generate("What is OpenVINO?"))
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+ ```
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+
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+ More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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+
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  ## Limitations
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+ Check the original model card for [limitations](https://huggingface.co/EleutherAI/gpt-j-6b#limitations-and-biases).
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  ## Legal information
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