From 5e766e8105d77f975d7a5210a406df2c5d8bd6ce Mon Sep 17 00:00:00 2001
From: Kai Huang <huangkaivision@gmail.com>
Date: Wed, 10 Jan 2024 19:51:24 +0800
Subject: [PATCH] Fix Mixtral typo (#9882)

---
 README.md                         | 2 +-
 docs/readthedocs/source/index.rst | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 20014b7e..73704e56 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
 ### Latest update 🔥 
 - [2024/01] 🔔🔔🔔 ***Starting from 2024/01/08, the default `bigdl-llm` GPU Linux installation switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the [GPU installation guide](https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html) for more details.)***
 - [2023/12] `bigdl-llm` now supports [ReLoRA](python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora#relora) (see *["ReLoRA: High-Rank Training Through Low-Rank Updates"](https://arxiv.org/abs/2307.05695)*)
-- [2023/12] `bigdl-llm` now supports [Mixtra-8x7B](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) on both Intel [GPU](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) and [CPU](python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral).
+- [2023/12] `bigdl-llm` now supports [Mixtral-8x7B](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) on both Intel [GPU](python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral) and [CPU](python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral).
 - [2023/12] `bigdl-llm` now supports [QA-LoRA](python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora#qa-lora) (see *["QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models"](https://arxiv.org/abs/2309.14717)*)
 - [2023/12] `bigdl-llm` now supports [FP8 and FP4 inference](python/llm/example/GPU/HF-Transformers-AutoModels/More-Data-Types) on Intel ***GPU***.
 - [2023/11] Initial support for directly loading [GGUF](python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/GGUF), [AWQ](python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ) and [GPTQ](python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/GPTQ) models into `bigdl-llm` is available.
diff --git a/docs/readthedocs/source/index.rst b/docs/readthedocs/source/index.rst
index 336b23ab..e72d8a03 100644
--- a/docs/readthedocs/source/index.rst
+++ b/docs/readthedocs/source/index.rst
@@ -26,7 +26,7 @@ Latest update 🔥
 ============================================
 - [2024/01] 🔔🔔🔔 **Starting from 2024/01/08, the default** ``bigdl-llm`` **GPU Linux installation switched from PyTorch 2.0 to PyTorch 2.1, which requires new oneAPI and GPU driver versions. (See the** `GPU installation guide <https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html>`_ **for more details.)**
 - [2023/12] ``bigdl-llm`` now supports `ReLoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora#relora>`_ (see `"ReLoRA: High-Rank Training Through Low-Rank Updates" <https://arxiv.org/abs/2307.05695>`_)
-- [2023/12] ``bigdl-llm`` now supports `Mixtra-8x7B <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ on both Intel `GPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ and `CPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral>`_.
+- [2023/12] ``bigdl-llm`` now supports `Mixtral-8x7B <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ on both Intel `GPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mixtral>`_ and `CPU <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mixtral>`_.
 - [2023/12] ``bigdl-llm`` now supports `QA-LoRA <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora#qa-lora>`_ (see `"QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models" <https://arxiv.org/abs/2309.14717>`_).
 - [2023/12] ``bigdl-llm`` now supports `FP8 and FP4 inference <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/More-Data-Types>`_ on Intel **GPU**.
 - [2023/11] Initial support for directly loading `GGUF <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/GGUF>`_, `AWQ <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ>`_ and `GPTQ <https://github.com/intel-analytics/BigDL/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/GPTQ>`_ models in to ``bigdl-llm`` is available.