One is anyToAny models that requires a VAD model, and one is
wrappedModel that requires as well VAD models along others in the
pipeline.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Read jinja templates as fallback
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Move templating out of model loader
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Test TemplateMessages
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Set role and content from transformers
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Tests: be more flexible
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* More jinja
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small refactoring and adaptations
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(backend): add stablediffusion-ggml
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(ci): track stablediffusion-ggml
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use default scheduler and sampler if not specified
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Move cfg scale out of diffusers block
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make it working
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: set free_params_immediately to false to call the model in sequence
https://github.com/leejet/stable-diffusion.cpp/issues/366
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: extract output with regexes from LLMs
This changset adds `extract_regex` to the LLM config. It is a list of
regexes that can match output and will be used to re extract text from
the LLM output. This is particularly useful for LLMs which outputs final
results into tags.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add tests, enhance output in case of configuration error
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(downloader): be consistent in downloading files
This PR puts some order in the downloader such as functions are re-used
across several places.
This fixes an issue with having uri's inside the model YAML file, it
would resolve to MD5 rather then using the filename
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(scanner): do raise error only if unsafeFiles are found
Fixes: https://github.com/mudler/LocalAI/issues/3114
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(llama.cpp): add embeddings
Also enable embeddings by default for llama.cpp models
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(Makefile): prepare llama.cpp sources only once
Otherwise we keep cloning llama.cpp for each of the variants
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* do not set embeddings to false
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs: add embeddings to the YAML config reference
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* refactor(gallery): move under core/
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(unarchive): do not allow symlinks
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* wip: guess informations from gguf file
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* update go mod
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Identify llama3
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Do not try to guess the name, as reading gguf files can be expensive
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Allow to disable guessing
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
some minor renames and refactorings within BackendConfigLoader - make things more consistent, remove underused code, rename things for clarity
Signed-off-by: Dave Lee <dave@gray101.com>
* start breaking up the giant channel refactor now that it's better understood - easier to merge bites
Signed-off-by: Dave Lee <dave@gray101.com>
* add concurrency and base64 back in, along with new base64 tests.
Signed-off-by: Dave Lee <dave@gray101.com>
* Automatic rename of whisper.go's Result to TranscriptResult
Signed-off-by: Dave Lee <dave@gray101.com>
* remove pkg/concurrency - significant changes coming in split 2
Signed-off-by: Dave Lee <dave@gray101.com>
* fix comments
Signed-off-by: Dave Lee <dave@gray101.com>
* add list_model service as another low-risk service to get it out of the way
Signed-off-by: Dave Lee <dave@gray101.com>
* split backend config loader into seperate file from the actual config struct. No changes yet, just reduce cognative load with smaller files of logical blocks
Signed-off-by: Dave Lee <dave@gray101.com>
* rename state.go ==> application.go
Signed-off-by: Dave Lee <dave@gray101.com>
* fix lost import?
Signed-off-by: Dave Lee <dave@gray101.com>
---------
Signed-off-by: Dave Lee <dave@gray101.com>
* feat(gallery): op now supports deletion of models
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Wire things with WebUI(WIP)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* minor improvements
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(seed): generate random seed per-request if -1 is set
Also update ci with new workflows and allow the aio tests to run with an
api key
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs(openvino): Add OpenVINO example
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(defaults): set better defaults for inferencing
This changeset aim to have better defaults and to properly detect when
no inference settings are provided with the model.
If not specified, we defaults to mirostat sampling, and offload all the
GPU layers (if a GPU is detected).
Related to https://github.com/mudler/LocalAI/issues/1373 and https://github.com/mudler/LocalAI/issues/1723
* Adapt tests
* Also pre-initialize default seed
* core 1
* api/openai/files fix
* core 2 - core/config
* move over core api.go and tests to the start of core/http
* move over localai specific endpoints to core/http, begin the service/endpoint split there
* refactor big chunk on the plane
* refactor chunk 2 on plane, next step: port and modify changes to request.go
* easy fixes for request.go, major changes not done yet
* lintfix
* json tag lintfix?
* gitignore and .keep files
* strange fix attempt: rename the config dir?
