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fb0a4c5d9a
* Dockerfile changes to build for ROCm * Adjust linker flags for ROCm * Update conda env for diffusers and transformers to use ROCm pytorch * Update transformers conda env for ROCm * ci: build hipblas images * fixup rebase * use self-hosted Signed-off-by: mudler <mudler@localai.io> * specify LD_LIBRARY_PATH only when BUILD_TYPE=hipblas --------- Signed-off-by: mudler <mudler@localai.io> Co-authored-by: mudler <mudler@localai.io> |
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autogptq | ||
bark | ||
common-env/transformers | ||
coqui | ||
diffusers | ||
exllama | ||
exllama2 | ||
mamba | ||
petals | ||
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>