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Modify and add any incorrect or missing content in the install.md file.

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doc/en/FAQ.md
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@ -68,4 +68,4 @@ Make sure you:
The detailed error:
>ImportError: /mnt/data/miniconda3/envs/xxx/bin/../lib/libstdc++.so.6: version `GLIBCXX_3.4.30' not found (required by /home/xxx/xxx/ktransformers/./cpuinfer_ext.cpython-312-x86_64-linux-gnu.so)
Running conda install -c conda-forge libstdcxx-ng can solve the problem.
Running `conda install -c conda-forge libstdcxx-ng` can solve the problem.

31
doc/en/install.md
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@ -11,9 +11,20 @@ Some preparation:
```sh
# Adding CUDA to PATH
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_PATH=/usr/local/cuda
if [ -d "/usr/local/cuda/bin" ]; then
export PATH=$PATH:/usr/local/cuda/bin
fi
if [ -d "/usr/local/cuda/lib64" ]; then
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
# Or you can add it to /etc/ld.so.conf and run ldconfig as root:
# echo "/usr/local/cuda-12.x/lib64" | sudo tee -a /etc/ld.so.conf
# sudo ldconfig
fi
if [ -d "/usr/local/cuda" ]; then
export CUDA_PATH=$CUDA_PATH:/usr/local/cuda
fi
```
- Linux-x86_64 with gcc, g++ and cmake
@ -23,19 +34,27 @@ Some preparation:
sudo apt-get install gcc g++ cmake ninja-build
```
- We recommend using [Conda](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh) to create a virtual environment with Python=3.11 to run our program.
- We recommend using [Miniconda3](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh) or [Anaconda3](https://repo.anaconda.com/archive/Anaconda3-2024.10-1-Linux-x86_64.sh) to create a virtual environment with Python=3.11 to run our program. Assuming your Anaconda installation directory is `~/anaconda`, you should ensure that the version identifier of the GNU C++standard library used by Anaconda includes `GLIBCXX-3.4.32`
```sh
conda create --name ktransformers python=3.11
conda activate ktransformers # you may need to run ‘conda init’ and reopen shell first
conda install -c conda-forge libstdcxx-ng # Anaconda provides a package called `libstdcxx-ng` that includes a newer version of `libstdc++`, which can be installed via `conda-forge`.
strings ~/anaconda3/envs/ktransformers-0.3/lib/libstdc++.so.6 | grep GLIBCXX
```
- Make sure that PyTorch, packaging, ninja is installed
- Make sure that PyTorch, packaging, ninja is installed You can also [install previous versions of PyTorch](https://pytorch.org/get-started/previous-versions/)
```
pip install torch packaging ninja cpufeature numpy
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
pip3 install packaging ninja cpufeature numpy
```
- At the same time, you should download and install the corresponding version of flash-attention from https://github.com/Dao-AILab/flash-attention/releases.
## Installation
<!-- 1. ~~Use a Docker image, see [documentation for Docker](./doc/en/Docker.md)~~