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kblaszczak-intel merged 1 commit into from
Jul 1, 2024
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[DOCS] tiny fix for benchmarks master #25302

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13 changes: 10 additions & 3 deletions ...articles_en/about-openvino/performance-benchmarks/generative-ai-performance.rst
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Most Efficient Large Language Models for AI PC
==============================================

The table below lists key performance indicators for a selection of Large Language Models
running on an Intel® Core™ Ultra 7-165H based system.
This page is regularly updated to help you identify the best-performing LLMs on the
Intel® Core™ Ultra processor family and AI PCs.

The table below lists the key performance indicators for a selection of Large Language Models,
running on an Intel® Core™ Ultra 7-165H based system, on built-in GPUs.

For complete information on the system config, see:
`Hardware Platforms [PDF] <https://docs.openvino.ai/2024/_static/benchmarks_files/OV-2024.2-platform_list.pdf>`__


.. raw:: html

Expand Down Expand Up @@ -54,7 +61,7 @@ running on an Intel® Core™ Ultra 7-165H based system.
:class: modeldata stripe
:name: supportedModelsTable
:header-rows: 1
:file: ../../_static/llm_models.csv
:file: ../../_static/download/llm_models.csv


This page is regularly updated to help you identify the best-performing LLMs on the
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7 changes: 7 additions & 0 deletions docs/openvino_sphinx_theme/openvino_sphinx_theme/templates/navbar-nav.html
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Expand Up @@ -31,6 +31,13 @@
</a>
</li>

<li class="toctree-l1 nav-item">
<a class="reference external nav-link"
href="https://docs.openvino.ai/2024/about-openvino/performance-benchmarks.html">
Performance Benchmarks
</a>
</li>

<li class="toctree-l1 nav-item">
<a class="reference external nav-link" href="https://github.com/openvinotoolkit">
GitHub
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3 changes: 1 addition & 2 deletions docs/sphinx_setup/_static/llm_models.csv → ...inx_setup/_static/download/llm_models.csv
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Expand Up @@ -19,5 +19,4 @@ Mistral-7b-v0.1,10.5,4462,7242,1007,128,INT4,1,1,PT,
Zephyr-7b-beta,10.5,4500,7039,1024,128,INT4,1,1,PT,
Qwen1.5-7b-chat,9.9,4318,7034,1024,128,INT4,1,1,PT,
Baichuan2-7b-chat,9.8,4668,6724,1024,128,INT4,1,1,PT,
Qwen-7b-chat,9.0,5141,6996,1024,128,INT4,1,1,PT,
Vicuna-7b-v1.5,0.0,3982,7022,1024,128,INT4,1,1,PT,
Qwen-7b-chat,9.0,5141,6996,1024,128,INT4,1,1,PT,