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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ license_link: https://choosealicense.com/licenses/apache-2.0/
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+ ---
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+ # Mistral-7B-Instruct-v0.2-int4-ov
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+ * Model creator: [Mistral AI](https://huggingface.co/mistralai)
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+ * Original model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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+
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+ ## Description
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+
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+ This is [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format.
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+
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+ ## Compatibility
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+
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+ The provided OpenVINO™ IR model is compatible with:
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+
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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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+
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+ ## Running Model Inference
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+
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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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+
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+ ```
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+ pip install optimum[openvino]
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+ ```
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+
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+ 2. Run model inference:
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+
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+ ```
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+ from transformers import AutoTokenizer
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+ from optimum.intel.openvino import OVModelForCausalLM
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+
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+ model_id = "OpenVINO/Mistral-7B-Instruct-v0.2-int4-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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+
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+ inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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+
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+ outputs = model.generate(**inputs, max_length=200)
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+ text = tokenizer.batch_decode(outputs)[0]
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+ print(text)
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+ ```
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+
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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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+
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+ ## Limitations
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+
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+ Check the original model card for [limitations](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2#limitations).
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+
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+ ## Legal information
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+
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+ The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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+
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+ ## Disclaimer
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+
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+ 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](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). 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.
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "max_position_embeddings": 32768,
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+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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