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--- |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# codegen25-7b-multi |
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* Model creator: [Salesforce](https://huggingface.co/Salesforce) |
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* Original model: [CodeGen2.5-7B-multi](https://huggingface.co/Salesforce/codegen25-7b-multi_P) |
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## Description |
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This is [CodeGen2.5-7B-multi](https://huggingface.co/Salesforce/codegen25-7b-multi_P) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16. |
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## Compatibility |
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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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``` |
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pip install optimum[openvino] tiktoken |
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``` |
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2. Run model inference: |
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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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model_id = "OpenVINO/codegen25-7b-multi-fp16-ov" |
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) |
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model = OVModelForCausalLM.from_pretrained(model_id) |
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text = "def hello_world():" |
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input_ids = tokenizer(text, return_tensors="pt").input_ids |
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generated_ids = model.generate(input_ids, max_length=128) |
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print(tokenizer.decode(generated_ids[0], skip_special_tokens=True)) |
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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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## Limitations |
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Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen25-7b-instruct_P#intended-use-and-limitations). |
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## Legal information |
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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/Salesforce/codegen25-7b-multi_P). |
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## Disclaimer |
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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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