feat: add support to ctransformers

[mudler]

Tracker to add support to ctransformers https://github.com/marella/ctransformers

https://github.com/jllllll/ctransformers-cuBLAS-wheels

[localai-bot]

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To add support for ctransformers, you can modify the build command in your Dockerfile to include the ctransformers package. You can use the following command to install ctransformers:

RUN pip install ctransformers==3.0.1

Replace 3.0.1 with the version of ctransformers that you want to use.
To use ctransforters with cuBLAS, you can modify your model config file to include the following options:

gpu_layers: 1
ffmpeg: true
build_type: 'cublas'
cuda_major_version: 12
cuda_minor_version: 1
platforms: 'linux/amd64'
tag_latest: false
tag_suffix: '-cublas-cuda12-ffmpeg'

Replace the values with your desired settings.
To use ctransforters with Metal, you can modify your model config file to include the following options:

gpu_layers: 1
build_type: 'metal'
platforms: 'macos/arm64'
tag_latest: false
tag_suffix: '-metal-cuda12-ffmpeg'

Replace the values with your desired settings.
To use ctransforters with OpenBLAS, you can modify your model config file to include the following options:

gpu_layers: 1
build_type: 'openblas'
platforms: 'linux/amd64'
tag_latest: false
tag_suffix: '-openblas-cuda12-ffmpeg'

Replace the values with your desired settings.
To use ctransforters with CuBLAS, you can modify your model config file to include the following options:

gpu_layers: 1
build_type: 'cublas'
cuda_major_version: 12
cuda_minor_version: 1
platforms: 'linux/amd64'
tag_latest: false
tag_suffix: '-cublas-cuda12-ffmpeg'

Replace the values with your desired settings.
To use ctransforters with CLBlast, you can modify your model config file to include the following options:

gpu_layers: 1
build_type: 'clblas'
platforms: 'linux/amd64'
tag_latest: false
tag_suffix: '-clblas-cuda12-ffmpeg'

Replace the values with your desired settings.
Make sure to give enough resources to the running container by setting the appropriate environment variables in your Dockerfile or Docker-compose file. You can use the following command to set the memory limit:

ENV memory_limit=2048m

Replace 2048m with the desired memory limit in megabytes.

Sources:

• https://localai.io/basics/news/index.html
• https://localai.io/basics/build/index.html
• https://github.com/go-skynet/LocalAI/tree/master/.github/workflows/image.yml

[localai-bot]

ctransformers has been unmaintained upstream for a long time and its use cases are fully covered by the llama.cpp backend today. Closing as obsolete. Thanks all the same.