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@ -11,6 +11,54 @@
> - ***50+ models** have been optimized/verified on `ipex-llm` (including LLaMA2, Mistral, Mixtral, Gemma, LLaVA, Whisper, ChatGLM, Baichuan, Qwen, RWKV, and more); see the complete list [here](#verified-models).*
## `ipex-llm` Demo
See demos of running local LLMs *on Intel Iris iGPU, Intel Core Ultra iGPU, single-card Arc GPU, or multi-card Arc GPUs* using `ipex-llm` below.
<table width="100%">
<tr>
<td align="center" colspan="1"><strong>Intel Iris iGPU</strong></td>
<td align="center" colspan="1"><strong>Intel Core Ultra iGPU</strong></td>
<td align="center" colspan="1"><strong>Intel Arc dGPU</strong></td>
<td align="center" colspan="1"><strong>2-Card Intel Arc dGPUs</strong></td>
</tr>
<tr>
<td>
<a href="https://llm-assets.readthedocs.io/en/latest/_images/iris_phi3-3.8B_q4_0_llamacpp_long.gif" target="_blank">
<img src="https://llm-assets.readthedocs.io/en/latest/_images/iris_phi3-3.8B_q4_0_llamacpp_long.gif" width=100%; />
</a>
</td>
<td>
<a href="https://llm-assets.readthedocs.io/en/latest/_images/mtl_mistral-7B_q4_k_m_ollama.gif" target="_blank">
<img src="https://llm-assets.readthedocs.io/en/latest/_images/mtl_mistral-7B_q4_k_m_ollama.gif" width=100%; />
</a>
</td>
<td>
<a href="https://llm-assets.readthedocs.io/en/latest/_images/arc_llama3-8B_fp8_textwebui.gif" target="_blank">
<img src="https://llm-assets.readthedocs.io/en/latest/_images/arc_llama3-8B_fp8_textwebui.gif" width=100%; />
</a>
</td>
<td>
<a href="https://llm-assets.readthedocs.io/en/latest/_images/2arc_qwen1.5-32B_fp6_fastchat.gif" target="_blank">
<img src="https://llm-assets.readthedocs.io/en/latest/_images/2arc_qwen1.5-32B_fp6_fastchat.gif" width=100%; />
</a>
</td>
</tr>
<tr>
<td align="center" width="25%">
<a href="https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/llama_cpp_quickstart.html">llama.cpp (Phi-3-mini Q4_0)</a>
</td>
<td align="center" width="25%">
<a href="https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html">Ollama (Mistral-7B Q4_K) </a>
</td>
<td align="center" width="25%">
<a href="https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html">TextGeneration-WebUI (Llama3-8B FP8) </a>
</td>
<td align="center" width="25%">
<a href="https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/fastchat_quickstart.html">FastChat (QWen1.5-32B FP6)</a>
</td> </tr>
</table>
<!--
See the demo of running [*Text-Generation-WebUI*](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html), [*local RAG using LangChain-Chatchat*](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/chatchat_quickstart.html), [*llama.cpp*](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/llama_cpp_quickstart.html) and [*Ollama*](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html) *(on either Intel Core Ultra laptop or Arc GPU)* with `ipex-llm` below.
<table width="100%">
@ -46,7 +94,8 @@ See the demo of running [*Text-Generation-WebUI*](https://ipex-llm.readthedocs.i
<a href="https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html">Ollama</a>
</td> </tr>
</table>
-->
## Latest Update 🔥
- [2024/05] You can now easily run `ipex-llm` inference, serving and finetuning using [Docker](#docker).
- [2024/05] You can now install `ipex-llm` on Windows using just "*[one command](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/install_windows_gpu.html#install-ipex-llm)*".