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Code Pull requests Releases Packages 2 Activity Actions

Remove request wrapper migration (#64)

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* [1/n] migrate inference/chat_completion

* migrate inference/completion

* inference/completion

* inference regenerate openapi spec

* safety api

* migrate agentic system

* migrate apis without implementations

* re-generate openapi spec

* remove hack from openapi generator

* fix inference

* fix inference

* openapi generator rerun

* Simplified Telemetry API and tying it to logger (#57)

* Simplified Telemetry API and tying it to logger

* small update which adds a METRIC type

* move span events one level down into structured log events

---------

Co-authored-by: Ashwin Bharambe <ashwin@meta.com>

* fix api to work with openapi generator

* fix agentic calling inference

* together adapter inference

* update inference adapters

---------

Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
This commit is contained in:
Xi Yan 2024-09-12 15:03:49 -07:00 • committed by GitHub
parent 1d0e91d802
commit 5712566061
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26 changed files with 1211 additions and 3031 deletions
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24
llama_toolchain/post_training/api/api.py
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@ -179,13 +179,33 @@ class PostTraining(Protocol):
@webmethod(route="/post_training/supervised_fine_tune")
def supervised_fine_tune(
self,
request: PostTrainingSFTRequest,
job_uuid: str,
model: str,
dataset: TrainEvalDataset,
validation_dataset: TrainEvalDataset,
algorithm: FinetuningAlgorithm,
algorithm_config: Union[
LoraFinetuningConfig, QLoraFinetuningConfig, DoraFinetuningConfig
],
optimizer_config: OptimizerConfig,
training_config: TrainingConfig,
hyperparam_search_config: Dict[str, Any],
logger_config: Dict[str, Any],
) -> PostTrainingJob: ...
@webmethod(route="/post_training/preference_optimize")
def preference_optimize(
self,
request: PostTrainingRLHFRequest,
job_uuid: str,
finetuned_model: URL,
dataset: TrainEvalDataset,
validation_dataset: TrainEvalDataset,
algorithm: RLHFAlgorithm,
algorithm_config: Union[DPOAlignmentConfig],
optimizer_config: OptimizerConfig,
training_config: TrainingConfig,
hyperparam_search_config: Dict[str, Any],
logger_config: Dict[str, Any],
) -> PostTrainingJob: ...
@webmethod(route="/post_training/jobs")