* feat(autogptq): add a separate conda environment for autogptq (#1137)
**Description**
This PR related to #1117
**Notes for Reviewers**
Here we lock down the version of the dependencies. Make sure it can be
used all the time without failed if the version of dependencies were
upgraded.
I change the order of importing packages according to the pylint, and no
change the logic of code. It should be ok.
I will do more investigate on writing some test cases for every backend.
I can run the service in my environment, but there is not exist a way to
test it. So, I am not confident on it.
Add a README.md in the `grpc` root. This is the common commands for
creating `conda` environment. And it can be used to the reference file
for creating extral gRPC backend document.
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* [Extra backend] Add seperate environment for ttsbark (#1141)
**Description**
This PR relates to #1117
**Notes for Reviewers**
Same to the latest PR:
* The code is also changed, but only the order of the import package
parts. And some code comments are also added.
* Add a configuration of the `conda` environment
* Add a simple test case for testing if the service can be startup in
current `conda` environment. It is succeed in VSCode, but the it is not
out of box on terminal. So, it is hard to say the test case really
useful.
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* feat(conda): add make target and entrypoints for the dockerfile
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(conda): Add seperate conda env for diffusers (#1145)
**Description**
This PR relates to #1117
**Notes for Reviewers**
* Add `conda` env `diffusers.yml`
* Add Makefile to create it automatically
* Add `run.sh` to support running as a extra backend
* Also adding it to the main Dockerfile
* Add make command in the root Makefile
* Testing the server, it can start up under the env
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(conda):Add seperate env for vllm (#1148)
**Description**
This PR is related to #1117
**Notes for Reviewers**
* The gRPC server can be started as normal
* The test case can be triggered in VSCode
* Same to other this kind of PRs, add `vllm.yml` Makefile and add
`run.sh` to the main Dockerfile, and command to the main Makefile
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* feat(conda):Add seperate env for huggingface (#1146)
**Description**
This PR is related to #1117
**Notes for Reviewers**
* Add conda env `huggingface.yml`
* Change the import order, and also remove the no-used packages
* Add `run.sh` and `make command` to the main Dockerfile and Makefile
* Add test cases for it. It can be triggered and succeed under VSCode
Python extension but it is hang by using `python -m unites
test_huggingface.py` in the terminal
```
Running tests (unittest): /workspaces/LocalAI/extra/grpc/huggingface
Running tests: /workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_embedding
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_load_model
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_server_startup
./test_huggingface.py::TestBackendServicer::test_embedding Passed
./test_huggingface.py::TestBackendServicer::test_load_model Passed
./test_huggingface.py::TestBackendServicer::test_server_startup Passed
Total number of tests expected to run: 3
Total number of tests run: 3
Total number of tests passed: 3
Total number of tests failed: 0
Total number of tests failed with errors: 0
Total number of tests skipped: 0
Finished running tests!
```
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* feat(conda): Add the seperate conda env for VALL-E X (#1147)
**Description**
This PR is related to #1117
**Notes for Reviewers**
* The gRPC server cannot start up
```
(ttsvalle) @Aisuko ➜ /workspaces/LocalAI (feat/vall-e-x) $ /opt/conda/envs/ttsvalle/bin/python /workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py
Traceback (most recent call last):
File "/workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py", line 14, in <module>
from utils.generation import SAMPLE_RATE, generate_audio, preload_models
ModuleNotFoundError: No module named 'utils'
```
The installation steps follow
https://github.com/Plachtaa/VALL-E-X#-installation below:
* Under the `ttsvalle` conda env
```
git clone https://github.com/Plachtaa/VALL-E-X.git
cd VALL-E-X
pip install -r requirements.txt
```
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* fix: set image type
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(conda):Add seperate conda env for exllama (#1149)
Add seperate env for exllama
Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Setup conda
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Set image_type arg
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci: prepare only conda env in tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Dockerfile: comment manual pip calls
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* conda: add conda to PATH
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fixes
* add shebang
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* file perms
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* debug
* Install new conda in the worker
* Disable GPU tests for now until the worker is back
* Rename workflows
* debug
* Fixup conda install
* fixup(wrapper): pass args
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Aisuko <urakiny@gmail.com>
This particularly useful to set AWQ
**Description**
Follow up of #1015
**Notes for Reviewers**
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---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
**Description**
This PR fixes#1013.
It adds `draft_model` and `n_draft` to the model YAML config in order to
load models with speculative sampling. This should be compatible as well
with grammars.
example:
```yaml
backend: llama
context_size: 1024
name: my-model-name
parameters:
model: foo-bar
n_draft: 16
draft_model: model-name
```
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
**Description**
This PR fixes #
**Notes for Reviewers**
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
**Description**
Follow up of #998 - respect the device used to load the model and do not
specify a seed in the parameters, but rather just configure the
generator as described in
https://huggingface.co/docs/diffusers/using-diffusers/reusing_seeds
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
**Description**
This PR fixes#985
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**Description**
Enable setting the seed for the stable diffusion pipeline. This is done
through an additional `seed` parameter in the request, such as:
```bash
curl http://localhost:8080/v1/images/generations \
-H "Content-Type: application/json" \
-d '{"model": "stablediffusion", "prompt": "prompt", "n": 1, "step": 51, "size": "512x512", "seed": 3}'
```
**Notes for Reviewers**
When the `seed` parameter is not sent, `request.seed` defaults to `0`,
making it difficult to detect an actual seed of `0`. Is there a way to
change the default to `-1` for instance ?
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**Description**
This PR fixes#914
Now diffusers respects the `lora_adapter` configuration parameter.
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
**Description**
This PR fixes #
**Notes for Reviewers**
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
