Commit Graph

8 Commits

Author SHA1 Message Date
Ettore Di Giacinto
d2934dd69f 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
2024-03-14 18:12:47 +01:00
Ettore Di Giacinto
f895d06605
fix(config): set better defaults for inferencing (#1822)
* 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
2024-03-13 10:05:30 +01:00
Ettore Di Giacinto
5d1018495f
feat(intel): add diffusers/transformers support (#1746)
* 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
2024-03-07 14:37:45 +01:00
Ludovic Leroux
939411300a
Bump vLLM version + more options when loading models in vLLM (#1782)
* Bump vLLM version to 0.3.2

* Add vLLM model loading options

* Remove transformers-exllama

* Fix install exllama
2024-03-01 22:48:53 +01:00
Dave
1c312685aa
refactor: move remaining api packages to core (#1731)
* 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?
2024-03-01 16:19:53 +01:00
Dave
255748bcba
MQTT Startup Refactoring Part 1: core/ packages part 1 (#1728)
This PR specifically introduces a `core` folder and moves the following packages over, without any other changes:

- `api/backend`
- `api/config`
- `api/options`
- `api/schema`

Once this is merged and we confirm there's no regressions, I can migrate over the remaining changes piece by piece to split up application startup, backend services, http, and mqtt as was the goal of the earlier PRs!
2024-02-21 01:21:19 +00:00
Ettore Di Giacinto
db926896bd
Revert "[Refactor]: Core/API Split" (#1550)
Revert "[Refactor]: Core/API Split (#1506)"

This reverts commit ab7b4d5ee9.
2024-01-05 18:04:46 +01:00
Dave
ab7b4d5ee9
[Refactor]: Core/API Split (#1506)
Refactors api folder to core, creates firm split between backend code and api frontend.
2024-01-05 15:34:56 +01:00