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61b5602111
Some of the dependencies in `requirements.txt`, even if generic, pulls down the line CUDA libraries. This changes moves mostly all GPU-specific libs to the build-type, and tries a safer approach. In `requirements.txt` now are listed only "first-level" dependencies, for instance, grpc, but libs-dependencies are moved down to the respective build-type `requirements.txt` to avoid any mixin. This should fix #2737 and #1592. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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|---|---|---|
| .. | ||
| autogptq | ||
| bark | ||
| common | ||
| coqui | ||
| diffusers | ||
| exllama | ||
| exllama2 | ||
| mamba | ||
| openvoice | ||
| parler-tts | ||
| petals | ||
| rerankers | ||
| sentencetransformers | ||
| transformers | ||
| transformers-musicgen | ||
| vall-e-x | ||
| vllm | ||
| README.md | ||
Common commands about conda environment
Create a new empty conda environment
conda create --name <env-name> python=<your version> -y
conda create --name autogptq python=3.11 -y
To activate the environment
As of conda 4.4
conda activate autogptq
The conda version older than 4.4
source activate autogptq
Install the packages to your environment
Sometimes you need to install the packages from the conda-forge channel
By using conda
conda install <your-package-name>
conda install -c conda-forge <your package-name>
Or by using pip
pip install <your-package-name>