* chore: allow to install with pip
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make the backend to build and actually work
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* List models from system only
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add script to build darwin python backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Run protogen in libbackend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Detect if mps is available across python backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* CI: try to build backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Debug CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Index mlx-vlm
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Remove mlx-vlm
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop CI test
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: Add backend gallery
This PR add support to manage backends as similar to models. There is
now available a backend gallery which can be used to install and remove
extra backends.
The backend gallery can be configured similarly as a model gallery, and
API calls allows to install and remove new backends in runtime, and as
well during the startup phase of LocalAI.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add backends docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* wip: Backend Dockerfile for python backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: drop extras images, build python backends separately
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixup on all backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Tweaks
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop old backends leftovers
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixup CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Move dockerfile upper
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix proto
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Feature dropped for consistency - we prefer model galleries
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add missing packages in the build image
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* exllama is ponly available on cublas
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* pin torch on chatterbox
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups to index
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Debug CI
* Install accellerators deps
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add target arch
* Add cuda minor version
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use self-hosted runners
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci: use quay for test images
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups for vllm and chatterbox
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups on CI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chatterbox is only available for nvidia
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Simplify CI builds
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Adapt test, use qwen3
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(model gallery): add jina-reranker-v1-tiny-en-gguf
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(gguf-parser): recover from potential panics that can happen while reading ggufs with gguf-parser
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use reranker from llama.cpp in AIO images
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Limit concurrent jobs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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>
fix: more places where we are installing grpc that need a version specified
fix: attempt to fix metal tests
fix: metal/brew is forcing an update, they don't have 1.58 available anymore
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat(elevenlabs): map elevenlabs API support to TTS
This allows elevenlabs Clients to work automatically with LocalAI by
supporting the elevenlabs API.
The elevenlabs server endpoint is implemented such as it is wired to the
TTS endpoints.
Fixes: https://github.com/mudler/LocalAI/issues/1809
* feat(openai/tts): compat layer with openai tts
Fixes: #1276
* fix: adapt tts CLI
* feat(intel): add diffusers support
* try to consume upstream container image
* Debug
* Manually install deps
* Map transformers/hf cache dir to modelpath if not specified
* fix(compel): update initialization, pass by all gRPC options
* fix: add dependencies, implement transformers for xpu
* base it from the oneapi image
* Add pillow
* set threads if specified when launching the API
* Skip conda install if intel
* defaults to non-intel
* ci: add to pipelines
* prepare compel only if enabled
* Skip conda install if intel
* fix cleanup
* Disable compel by default
* Install torch 2.1.0 with Intel
* Skip conda on some setups
* Detect python
* Quiet output
* Do not override system python with conda
* Prefer python3
* Fixups
* exllama2: do not install without conda (overrides pytorch version)
* exllama/exllama2: do not install if not using cuda
* Add missing dataset dependency
* Small fixups, symlink to python, add requirements
* Add neural_speed to the deps
* correctly handle model offloading
* fix: device_map == xpu
* go back at calling python, fixed at dockerfile level
* Exllama2 restricted to only nvidia gpus
* Tokenizer to xpu
Certain backends as vall-e-x are not meant to be used as a library, so
we want to start the process in the same folder where the backend and
all the assets are fixes#1394
