Remove example page in mddocs (#11373)
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Yuwen Hu
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IPEX-LLM Examples
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================================
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You can use IPEX-LLM to run any PyTorch model with INT4 optimizations on Intel XPU (from Laptop to GPU to Cloud).
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Here, we provide examples to help you quickly get started using IPEX-LLM to run some popular open-source models in the community. Please refer to the appropriate guide based on your device:
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* `CPU <./examples_cpu.html>`_
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* `GPU <./examples_gpu.html>`_
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# IPEX-LLM Examples: CPU
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Here, we provide some examples on how you could apply IPEX-LLM INT4 optimizations on popular open-source models in the community.
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To run these examples, please first refer to [here](./install_cpu.html) for more information about how to install ``ipex-llm``, requirements and best practices for setting up your environment.
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The following models have been verified on either servers or laptops with Intel CPUs.
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## Example of PyTorch API
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| Model | Example of PyTorch API |
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|------------|-------------------------------------------------------|
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| LLaMA 2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/llama2) |
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| ChatGLM | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/chatglm) |
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| Mistral | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/mistral) |
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| Bark | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/bark) |
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| BERT | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/bert) |
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| Openai Whisper | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/openai-whisper) |
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```eval_rst
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.. important::
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In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through PyTorch API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/More-Data-Types>`_.
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```
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## Example of `transformers`-style API
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| Model | Example of `transformers`-style API |
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|------------|-------------------------------------------------------|
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| LLaMA *(such as Vicuna, Guanaco, Koala, Baize, WizardLM, etc.)* | [link1](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/Native-Models), [link2](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/vicuna) |
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| LLaMA 2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/llama2) | [link1](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/Native-Models), [link2](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/llama2) |
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| ChatGLM | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/PyTorch-Models/Model/chatglm) | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/chatglm) |
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| ChatGLM2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/chatglm2) |
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| Mistral | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral) |
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| Falcon | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/falcon) |
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| MPT | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mpt) |
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| Dolly-v1 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v1) |
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| Dolly-v2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v2) |
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| Replit Code| [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/replit) |
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| RedPajama | [link1](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/Native-Models), [link2](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/redpajama) |
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| Phoenix | [link1](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/Native-Models), [link2](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/phoenix) |
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| StarCoder | [link1](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/Native-Models), [link2](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/starcoder) |
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| Baichuan | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/baichuan) |
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| Baichuan2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/baichuan2) |
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| InternLM | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/internlm) |
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| Qwen | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/qwen) |
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| Aquila | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/aquila) |
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| MOSS | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/moss) |
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| Whisper | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/whisper) |
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```eval_rst
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.. important::
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In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through ``transformers``-style API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/More-Data-Types>`_.
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```
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```eval_rst
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.. seealso::
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See the complete examples `here <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU>`_.
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```
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# IPEX-LLM Examples: GPU
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Here, we provide some examples on how you could apply IPEX-LLM INT4 optimizations on popular open-source models in the community.
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To run these examples, please first refer to [here](./install_gpu.html) for more information about how to install ``ipex-llm``, requirements and best practices for setting up your environment.
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```eval_rst
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.. important::
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Only Linux system is supported now, Ubuntu 22.04 is prefered.
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```
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The following models have been verified on either servers or laptops with Intel GPUs.
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## Example of PyTorch API
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| Model | Example of PyTorch API |
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|------------|-------------------------------------------------------|
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| LLaMA 2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/llama2) |
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| ChatGLM 2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/chatglm2) |
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| Mistral | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/mistral) |
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| Baichuan | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/baichuan) |
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| Baichuan2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/baichuan2) |
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| Replit | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/replit) |
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| StarCoder | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/starcoder) |
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| Dolly-v1 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/dolly-v1) |
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| Dolly-v2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/Model/dolly-v2) |
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```eval_rst
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.. important::
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In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through PyTorch API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/More-Data-Types>`_.
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```
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## Example of `transformers`-style API
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| Model | Example of `transformers`-style API |
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|------------|-------------------------------------------------------|
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| LLaMA *(such as Vicuna, Guanaco, Koala, Baize, WizardLM, etc.)* |[link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/vicuna)|
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| LLaMA 2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/llama2) |
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| ChatGLM2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/chatglm2) |
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| Mistral | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral) |
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| Falcon | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/falcon) |
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| MPT | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mpt) |
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| Dolly-v1 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v1) |
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| Dolly-v2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/dolly_v2) |
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| Replit | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/replit) |
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| StarCoder | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/starcoder) |
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| Baichuan | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/baichuan) |
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| Baichuan2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/baichuan2) |
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| InternLM | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/internlm) |
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| Qwen | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen) |
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| Aquila | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/aquila) |
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| Whisper | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/whisper) |
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| Chinese Llama2 | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/chinese-llama2) |
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| GPT-J | [link](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/gpt-j) |
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```eval_rst
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.. important::
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In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through ``transformers``-style API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/More-Data-Types>`_.
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```
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```eval_rst
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.. seealso::
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See the complete examples `here <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU>`_.
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```
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