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# macOS
Supports CPU and MPS (Metal M1/M2).
- [Install](#install)
- [Run](#run)
## Install
* Download and Install [Miniconda](https://docs.conda.io/en/latest/miniconda.html#macos-installers) for Python 3.10.
* Run Miniconda
* Setup environment with Conda Rust:
```bash
conda create -n h2ogpt python=3.10 rust
conda activate h2ogpt
```
* Install dependencies:
```bash
git clone https://github.com/h2oai/h2ogpt.git
cd h2ogpt
# fix any bad env
pip uninstall -y pandoc pypandoc pypandoc-binary
pip install --upgrade pip
python -m pip install --upgrade setuptools
# Install Torch:
pip install -r requirements.txt --extra-index https://download.pytorch.org/whl/cpu
```
* Install document question-answer dependencies:
```bash
# Required for Doc Q/A: LangChain:
pip install -r reqs_optional/requirements_optional_langchain.txt
# Required for CPU: LLaMa/GPT4All:
pip uninstall -y llama-cpp-python llama-cpp-python-cuda
pip install -r reqs_optional/requirements_optional_gpt4all.txt
pip install librosa
pip install llama-cpp-python
# Optional: PyMuPDF/ArXiv:
pip install -r reqs_optional/requirements_optional_langchain.gpllike.txt
# Optional: Selenium/PlayWright:
pip install -r reqs_optional/requirements_optional_langchain.urls.txt
# Optional: DocTR OCR:
pip install -r reqs_optional/requirements_optional_doctr.txt
# Optional: for supporting unstructured package
python -m nltk.downloader all
```
* For supporting Word and Excel documents, download libreoffice: https://www.libreoffice.org/download/download-libreoffice/ .
* To support OCR, install [Tesseract Documentation](https://tesseract-ocr.github.io/tessdoc/Installation.html):
```bash
brew install libmagic
brew link libmagic
brew install poppler
brew install tesseract
brew install tesseract-lang
brew install rubberband
brew install pygobject3 gtk4
brew install libjpeg
brew install libpng
```
See [FAQ](FAQ.md#adding-models) for how to run various models. See [CPU](README_CPU.md) and [GPU](README_GPU.md) for some other general aspects about using h2oGPT on CPU or GPU, such as which models to try.
---
## Issues
* Metal M1/M2 Only:
Verify whether torch uses MPS, run below python script:
```python
import torch
if torch.backends.mps.is_available():
mps_device = torch.device("mps")
x = torch.ones(1, device=mps_device)
print (x)
else:
print ("MPS device not found.")
```
Output
```bash
tensor([1.], device='mps:0')
```
* If you see `ld: library not found for -lSystem` then ensure you do below and then retry from scratch to do `pip install` commands:
```bash
export LDFLAGS=-L/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/lib`
```
* If conda Rust has issus, you can download and install [Native Rust]((https://www.geeksforgeeks.org/how-to-install-rust-in-macos/):
```bash
curl –proto ‘=https’ –tlsv1.2 -sSf https://sh.rustup.rs | sh
# enter new shell and test:
rustc --version
```
* When running a Mac with Intel hardware (not M1), you may run into
```text
_clang: error: the clang compiler does not support '-march=native'_
```
during pip install. If so, set your archflags during pip install. E.g.
```bash
ARCHFLAGS="-arch x86_64" pip install -r requirements.txt
```
* Metal M1/M2 Only
* By default requirements_optional_gpt4all.txt should install correct llama_cpp_python packages for GGUF. See [https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases](https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases) or [https://github.com/abetlen/llama-cpp-python/releases](https://github.com/abetlen/llama-cpp-python/releases) for other releases if you encounter any issues.
* If any issues, then compile:
```bash
pip uninstall llama-cpp-python -y
CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install -U llama-cpp-python==0.2.26 --no-cache-dir
```
* If you encounter an error while building a wheel during the `pip install` process, you may need to install a C++ compiler on your computer.
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