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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model:
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+ - nvidia/Mistral-NeMo-Minitron-8B-Instruct
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+ tags:
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+ - OpenArc
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+ - OpenVINO
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+ - Intel
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+ ---
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+
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+ My Project [OpenArc](https://github.com/SearchSavior/OpenArc), an inference engine for OpenVINO, now supports this model and serves inference over OpenAI compatible endpoints for text to text *and* text with vision!
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+
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+ We have a growing Discord community of others interested in using Intel for AI/ML.
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+
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+ [![Discord](https://img.shields.io/discord/1341627368581628004?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FmaMY7QjG)](https://discord.gg/maMY7QjG)
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+
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+ - Find documentation on the Optimum-CLI export process [here](https://huggingface.co/docs/optimum/main/en/intel/openvino/export)
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+ - Use my HF space [Echo9Zulu/Optimum-CLI-Tool_tool](https://huggingface.co/spaces/Echo9Zulu/Optimum-CLI-Tool_tool) to build commands and execute locally
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+
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+ ## This repo contains OpenVINO quantizations of nvidia/Mistral-NeMo-Minitron-8B-Instruct.
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+
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+ I reccomend starting with **Mistral-NeMo-Minitron-8B-Instruct-int4_asym-awq-se-ov**
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+
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+ To download individual models from this repo use the provided snippet:
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+
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+ ```
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+ from huggingface_hub import snapshot_download
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+
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+ repo_id = "Echo9Zulu/Mistral-NeMo-Minitron-8B-Instruct-OpenVINO"
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+
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+ # Choose the weights you want
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+ repo_directory = "Mistral-NeMo-Minitron-8B-Instruct-int4_asym-awq-se-ov"
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+
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+ # Where you want to save it
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+ local_dir = "./Echo9Zulu_Mistral-NeMo-Minitron-8B-Instruct/Mistral-NeMo-Minitron-8B-Instruct-int4_asym-awq-se-ov"
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+
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+ snapshot_download(
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+ repo_id=repo_id,
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+ allow_patterns=[f"{repo_directory}/*"],
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+ local_dir=local_dir,
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+ local_dir_use_symlinks=True
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+ )
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+
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+ print("Download complete!")
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+ ```