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>
* Bump oneapi-basekit, optimum and openvino
* Changed PERFORMANCE HINT to CUMULATIVE_THROUGHPUT
Minor latency change for first token but about 10-15% speedup on token generation.
* fix regression #1971
fixes regression #1971 introduced by intel_extension_for_transformers==1.4
* UseTokenizerTemplate and StopPrompt
Implementation of use_tokenizer_template and stopwords options
* feat(parler-tts): Add new backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(parler-tts): try downgrade protobuf
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(parler-tts): add parler conda env
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Revert "feat(parler-tts): try downgrade protobuf"
This reverts commit bd5941d5cfc00676b45a99f71debf3c34249cf3c.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* deps: add grpc
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: try to gen proto with same environment
* workaround
* Revert "fix: try to gen proto with same environment"
This reverts commit 998c745e2f.
* Workaround fixup
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Dave <dave@gray101.com>
* fix: initial work towards not committing generated files to the repository
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: improve build docs
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: remove unused folder from .dockerignore and .gitignore
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: attempt to fix extra backend tests
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: attempt to fix other tests
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: more test fixes
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: fix apple tests
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: more extras tests fixes
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: add GOBIN to PATH in docker build
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: extra tests and Dockerfile corrections
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: remove build dependency checks
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: add golang protobuf compilers to tests-linux action
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: ensure protogen is run for extra backend installs
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: use newer protobuf
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: more missing protoc binaries
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: missing dependencies during docker build
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: don't install grpc compilers in the final stage if they aren't needed
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: python-grpc-tools in 22.04 repos is too old
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: add a couple of extra build dependencies to Makefile
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: unbreak container rebuild functionality
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
---------
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* Enhance autogptq backend to support VL models
* update dependencies for autogptq
* remove redundant auto-gptq dependency
* Convert base64 to image_url for Qwen-VL model
* implemented model inference for qwen-vl
* remove user prompt from generated answer
* fixed write image error
* fixed use_triton issue when loading Qwen-VL model
---------
Co-authored-by: Binghua Wu <bingwu@estee.com>
* Streaming working
* Small fix for regression on CUDA and XPU
* use pip version of optimum[openvino]
* Update backend/python/transformers/transformers_server.py
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* Token streaming support
fix optimum[openvino] package in install.sh
* Token Streaming support
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* fixes#1775 and #1774
Add BitsAndBytes Quantization and fixes embedding on CUDA devices
* Manage 4bit and 8 bit quantization
Manage different BitsAndBytes options with the quantization: parameter in yaml
* fix compilation errors on non CUDA environment
* OpenVINO draft
First draft of OpenVINO integration in transformer backend
* first working implementation
* Streaming working
* Small fix for regression on CUDA and XPU
* use pip version of optimum[openvino]
* Update backend/python/transformers/transformers_server.py
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* Enhance autogptq backend to support VL models
* update dependencies for autogptq
* remove redundant auto-gptq dependency
* Convert base64 to image_url for Qwen-VL model
* implemented model inference for qwen-vl
* remove user prompt from generated answer
* fixed write image error
---------
Co-authored-by: Binghua Wu <bingwu@estee.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
* fixes#1775 and #1774
Add BitsAndBytes Quantization and fixes embedding on CUDA devices
* Manage 4bit and 8 bit quantization
Manage different BitsAndBytes options with the quantization: parameter in yaml
* fix compilation errors on non CUDA environment
* 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
* fix: use vllm AsyncLLMEngine to bring true stream
Current vLLM implementation uses the LLMEngine, which was designed for offline batch inference, which results in the streaming mode outputing all blobs at once at the end of the inference.
This PR reworks the gRPC server to use asyncio and gRPC.aio, in combination with vLLM's AsyncLLMEngine to bring true stream mode.
This PR also passes more parameters to vLLM during inference (presence_penalty, frequency_penalty, stop, ignore_eos, seed, ...).
* Remove unused import
* 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>
* feat(refactor): refactor config and input reading
* feat(tts): read config file for TTS
* examples(kubernetes): Add simple deployment example
* examples(kubernetes): Add simple deployment for intel arc
* docs(sycl): add sycl example
* feat(tts): do not always pick a first model
* fixups to run vall-e-x on container
* Correctly resolve backend
* feat(transformers): support also text generation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* embedded: set seed -1
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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
* feat(conda): share env between diffusers and bark
* Detect if env already exists
* share diffusers and petals
* tests: add petals
* Use smaller model for tests with petals
* test only model load on petals
* tests(petals): run only load model tests
* Revert "test only model load on petals"
This reverts commit 111cfa97f1.
* move transformers and sentencetransformers to common env
* Share also transformers-musicgen
* feat(img2vid): Initial support for img2vid
* doc(SD): fix SDXL Example
* Minor fixups for img2vid
* docs(img2img): fix example curl call
* feat(txt2vid): initial support
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* diffusers: be retro-compatible with CUDA settings
* docs(img2vid, txt2vid): examples
* Add notice on docs
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
