mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-07-29 15:23:51 +00:00
added DPO
This commit is contained in:
Ashwin Bharambe
parent
7cade3acc3
commit
631328f556
4 changed files with 796 additions and 472 deletions
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@ -12,19 +12,6 @@ from agentic_system_types import (
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SafetyViolation,
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)
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from finetuning_types import (
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Checkpoint,
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Dataset,
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DoraFinetuningConfig,
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FinetuningAlgorithm,
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FinetuningJobLogStream,
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FinetuningJobStatus,
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LoraFinetuningConfig,
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OptimizerConfig,
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QLoraFinetuningConfig,
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TrainingConfig,
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)
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from model_types import (
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BuiltinTool,
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Content,
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@ -42,6 +29,21 @@ from model_types import (
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URL,
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)
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from post_training_types import (
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Checkpoint,
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Dataset,
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DoraFinetuningConfig,
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DPOAlignmentConfig,
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FinetuningAlgorithm,
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LoraFinetuningConfig,
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OptimizerConfig,
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PostTrainingJobLogStream,
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PostTrainingJobStatus,
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QLoraFinetuningConfig,
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RLHFAlgorithm,
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TrainingConfig,
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)
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from pyopenapi import Info, Options, Server, Specification, webmethod
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from strong_typing.schema import json_schema_type
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@ -408,7 +410,7 @@ class Datasets(Protocol):
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@json_schema_type
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@dataclass
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class FinetuningTrainRequest:
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class PostTrainingSFTRequest:
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"""Request to finetune a model."""
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job_uuid: str
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@ -432,11 +434,34 @@ class FinetuningTrainRequest:
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@json_schema_type
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@dataclass
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class FinetuningJobStatusResponse:
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class PostTrainingRLHFRequest:
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"""Request to finetune a model."""
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job_uuid: str
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finetuned_model: URL
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dataset: Dataset
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validation_dataset: Dataset
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algorithm: RLHFAlgorithm
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algorithm_config: Union[DPOAlignmentConfig]
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optimizer_config: OptimizerConfig
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training_config: TrainingConfig
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# TODO: define these
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hyperparam_search_config: Dict[str, Any]
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logger_config: Dict[str, Any]
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@json_schema_type
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@dataclass
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class PostTrainingJobStatusResponse:
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"""Status of a finetuning job."""
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job_uuid: str
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status: FinetuningJobStatus
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status: PostTrainingJobStatus
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scheduled_at: Optional[datetime] = None
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started_at: Optional[datetime] = None
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@ -449,7 +474,7 @@ class FinetuningJobStatusResponse:
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@json_schema_type
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@dataclass
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class FinetuningJobArtifactsResponse:
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class PostTrainingJobArtifactsResponse:
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"""Artifacts of a finetuning job."""
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job_uuid: str
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@ -458,27 +483,35 @@ class FinetuningJobArtifactsResponse:
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# TODO(ashwin): metrics, evals
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class Finetuning(Protocol):
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@webmethod(route="/finetuning/text_generation/train")
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def post_train(
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class PostTraining(Protocol):
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@webmethod(route="/post_training/supervised_fine_tune/")
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def post_supervised_fine_tune(
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self,
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request: FinetuningTrainRequest,
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request: PostTrainingSFTRequest,
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) -> None: ...
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@webmethod(route="/post_training/preference_optimize/")
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def post_preference_optimize(
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self,
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request: PostTrainingRLHFRequest,
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) -> None: ...
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# sends SSE stream of logs
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@webmethod(route="/finetuning/job/logs")
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def get_training_log_stream(self, job_uuid: str) -> FinetuningJobLogStream: ...
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@webmethod(route="/post_training/job/logs")
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def get_training_log_stream(self, job_uuid: str) -> PostTrainingJobLogStream: ...
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@webmethod(route="/finetuning/job/status")
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def get_training_job_status(self, job_uuid: str) -> FinetuningJobStatusResponse: ...
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@webmethod(route="/post_training/job/status")
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def get_training_job_status(
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self, job_uuid: str
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) -> PostTrainingJobStatusResponse: ...
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@webmethod(route="/finetuning/job/cancel")
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@webmethod(route="/post_training/job/cancel")
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def cancel_training_job(self, job_uuid: str) -> None: ...
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@webmethod(route="/finetuning/job/artifacts")
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@webmethod(route="/post_training/job/artifacts")
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def get_training_job_artifacts(
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self, job_uuid: str
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) -> FinetuningJobArtifactsResponse: ...
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) -> PostTrainingJobArtifactsResponse: ...
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class LlamaStackEndpoints(
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@ -487,7 +520,7 @@ class LlamaStackEndpoints(
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RewardScoring,
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SyntheticDataGeneration,
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Datasets,
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Finetuning,
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PostTraining,
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MemoryBanks,
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): ...
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@ -299,7 +299,7 @@
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"parameters": []
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}
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},
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"/finetuning/job/artifacts": {
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"/post_training/job/artifacts": {
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"get": {
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"responses": {
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"200": {
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@ -307,14 +307,14 @@
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/FinetuningJobArtifactsResponse"
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"$ref": "#/components/schemas/PostTrainingJobArtifactsResponse"
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}
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}
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}
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}
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},
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"tags": [
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"Finetuning"
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"PostTraining"
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],
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"parameters": [
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{
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@ -328,7 +328,7 @@
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]
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}
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},
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"/finetuning/job/status": {
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"/post_training/job/status": {
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"get": {
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"responses": {
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"200": {
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@ -336,14 +336,14 @@
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/FinetuningJobStatusResponse"
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"$ref": "#/components/schemas/PostTrainingJobStatusResponse"
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}
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}
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}
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}
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},
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"tags": [
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"Finetuning"
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"PostTraining"
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],
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"parameters": [
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{
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@ -357,7 +357,7 @@
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]
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}
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},
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"/finetuning/job/logs": {
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"/post_training/job/logs": {
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"get": {
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"responses": {
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"200": {
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@ -365,14 +365,14 @@
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/FinetuningJobLogStream"
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"$ref": "#/components/schemas/PostTrainingJobLogStream"
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}
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}
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}
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}
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},
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"tags": [
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"Finetuning"
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"PostTraining"
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],
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"parameters": [
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{
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@ -664,6 +664,29 @@
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}
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}
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},
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"/post_training/preference_optimize/": {
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"post": {
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"responses": {
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"200": {
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"description": "OK"
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}
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},
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"tags": [
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"PostTraining"
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],
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"parameters": [],
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"requestBody": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/PostTrainingRLHFRequest"
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}
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}
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},
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"required": true
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}
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}
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},
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"/reward_scoring/score": {
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"post": {
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"responses": {
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@ -694,7 +717,7 @@
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}
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}
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},
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"/finetuning/text_generation/train": {
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"/post_training/supervised_fine_tune/": {
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"post": {
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"responses": {
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"200": {
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@ -702,14 +725,14 @@
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}
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},
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"tags": [
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"Finetuning"
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"PostTraining"
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],
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"parameters": [],
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"requestBody": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/FinetuningTrainRequest"
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"$ref": "#/components/schemas/PostTrainingSFTRequest"
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}
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}
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},
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@ -1697,7 +1720,7 @@
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"name"
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]
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},
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"FinetuningJobArtifactsResponse": {
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"PostTrainingJobArtifactsResponse": {
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"type": "object",
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"properties": {
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"job_uuid": {
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@ -1730,7 +1753,7 @@
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],
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"title": "Artifacts of a finetuning job."
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},
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"FinetuningJobStatusResponse": {
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"PostTrainingJobStatusResponse": {
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"type": "object",
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"properties": {
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"job_uuid": {
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@ -1810,7 +1833,7 @@
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],
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"title": "Status of a finetuning job."
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},
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"FinetuningJobLogStream": {
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"PostTrainingJobLogStream": {
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"type": "object",
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"properties": {
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"job_uuid": {
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@ -2672,6 +2695,191 @@
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],
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"title": "Response from the synthetic data generation. Batch of (prompt, response, score) tuples that pass the threshold."
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},
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"DPOAlignmentConfig": {
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"type": "object",
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"properties": {
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"reward_scale": {
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"type": "number"
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},
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"reward_clip": {
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"type": "number"
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},
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"epsilon": {
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"type": "number"
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},
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"gamma": {
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"type": "number"
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}
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},
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"additionalProperties": false,
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"required": [
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"reward_scale",
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"reward_clip",
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"epsilon",
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"gamma"
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]
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},
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"OptimizerConfig": {
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"type": "object",
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"properties": {
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"optimizer_type": {
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"type": "string",
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"enum": [
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"adam",
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"adamw",
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"sgd"
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]
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},
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"lr": {
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"type": "number"
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},
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"lr_min": {
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"type": "number"
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},
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"weight_decay": {
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"type": "number"
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}
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},
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"additionalProperties": false,
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"required": [
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"optimizer_type",
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"lr",
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"lr_min",
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"weight_decay"
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]
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},
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"PostTrainingRLHFRequest": {
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"type": "object",
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"properties": {
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"job_uuid": {
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"type": "string"
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},
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"finetuned_model": {
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"$ref": "#/components/schemas/URL"
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},
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"dataset": {
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"$ref": "#/components/schemas/Dataset"
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},
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"validation_dataset": {
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"$ref": "#/components/schemas/Dataset"
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},
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"algorithm": {
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"type": "string",
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"enum": [
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"dpo"
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]
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},
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"algorithm_config": {
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"$ref": "#/components/schemas/DPOAlignmentConfig"
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},
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"optimizer_config": {
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"$ref": "#/components/schemas/OptimizerConfig"
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},
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"training_config": {
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"$ref": "#/components/schemas/TrainingConfig"
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},
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"hyperparam_search_config": {
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"type": "object",
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"additionalProperties": {
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"oneOf": [
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{
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"type": "null"
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},
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{
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"type": "boolean"
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},
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{
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"type": "number"
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},
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{
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"type": "string"
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},
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{
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"type": "array"
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},
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{
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"type": "object"
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}
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]
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}
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},
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"logger_config": {
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"type": "object",
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"additionalProperties": {
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"oneOf": [
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{
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"type": "null"
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},
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{
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"type": "boolean"
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},
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{
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"type": "number"
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},
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{
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"type": "string"
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},
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{
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"type": "array"
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},
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{
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"type": "object"
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}
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]
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}
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}
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},
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"additionalProperties": false,
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"required": [
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"job_uuid",
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"finetuned_model",
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"dataset",
|
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"validation_dataset",
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"algorithm",
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"algorithm_config",
|
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"optimizer_config",
|
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"training_config",
|
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"hyperparam_search_config",
|
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"logger_config"
|
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],
|
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"title": "Request to finetune a model."
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},
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"TrainingConfig": {
|
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"type": "object",
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"properties": {
|
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"n_epochs": {
|
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"type": "integer"
|
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},
|
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"batch_size": {
|
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"type": "integer"
|
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},
|
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"shuffle": {
|
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"type": "boolean"
|
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},
|
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"n_iters": {
|
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"type": "integer"
|
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},
|
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"enable_activation_checkpointing": {
|
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"type": "boolean"
|
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},
|
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"memory_efficient_fsdp_wrap": {
|
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"type": "boolean"
|
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},
|
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"fsdp_cpu_offload": {
|
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"type": "boolean"
|
||||
}
|
||||
},
|
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"additionalProperties": false,
|
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"required": [
|
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"n_epochs",
|
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"batch_size",
|
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"shuffle",
|
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"n_iters",
|
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"enable_activation_checkpointing",
|
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"memory_efficient_fsdp_wrap",
|
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"fsdp_cpu_offload"
|
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]
|
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},
|
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"RewardScoringRequest": {
|
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"type": "object",
|
||||
"properties": {
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|
|
@ -2727,7 +2935,69 @@
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],
|
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"title": "Response from the reward scoring. Batch of (prompt, response, score) tuples that pass the threshold."
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},
|
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"FinetuningTrainRequest": {
|
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"DoraFinetuningConfig": {
|
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"type": "object",
|
||||
"properties": {
|
||||
"lora_attn_modules": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"apply_lora_to_mlp": {
|
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"type": "boolean"
|
||||
},
|
||||
"apply_lora_to_output": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"rank": {
|
||||
"type": "integer"
|
||||
},
|
||||
"alpha": {
|
||||
"type": "integer"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"lora_attn_modules",
|
||||
"apply_lora_to_mlp",
|
||||
"apply_lora_to_output",
|
||||
"rank",
|
||||
"alpha"
|
||||
]
|
||||
},
|
||||
"LoraFinetuningConfig": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"lora_attn_modules": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"apply_lora_to_mlp": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"apply_lora_to_output": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"rank": {
|
||||
"type": "integer"
|
||||
},
|
||||
"alpha": {
|
||||
"type": "integer"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"lora_attn_modules",
|
||||
"apply_lora_to_mlp",
|
||||
"apply_lora_to_output",
|
||||
"rank",
|
||||
"alpha"
|
||||
]
|
||||
},
|
||||
"PostTrainingSFTRequest": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"job_uuid": {
|
||||
|
|
@ -2761,66 +3031,10 @@
|
|||
"$ref": "#/components/schemas/LoraFinetuningConfig"
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"lora_attn_modules": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"apply_lora_to_mlp": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"apply_lora_to_output": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"rank": {
|
||||
"type": "integer"
|
||||
},
|
||||
"alpha": {
|
||||
"type": "integer"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"lora_attn_modules",
|
||||
"apply_lora_to_mlp",
|
||||
"apply_lora_to_output",
|
||||
"rank",
|
||||
"alpha"
|
||||
]
|
||||
"$ref": "#/components/schemas/QLoraFinetuningConfig"
|
||||
},
|
||||
{
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"lora_attn_modules": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"apply_lora_to_mlp": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"apply_lora_to_output": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"rank": {
|
||||
"type": "integer"
|
||||
},
|
||||
"alpha": {
|
||||
"type": "integer"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"lora_attn_modules",
|
||||
"apply_lora_to_mlp",
|
||||
"apply_lora_to_output",
|
||||
"rank",
|
||||
"alpha"
|
||||
]
|
||||
"$ref": "#/components/schemas/DoraFinetuningConfig"
|
||||
}
|
||||
]
|
||||
},
|
||||
|
|
@ -2896,7 +3110,7 @@
|
|||
],
|
||||
"title": "Request to finetune a model."
|
||||
},
|
||||
"LoraFinetuningConfig": {
|
||||
"QLoraFinetuningConfig": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"lora_attn_modules": {
|
||||
|
|
@ -2926,71 +3140,6 @@
|
|||
"rank",
|
||||
"alpha"
|
||||
]
|
||||
},
|
||||
"OptimizerConfig": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"optimizer_type": {
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"adam",
|
||||
"adamw",
|
||||
"sgd"
|
||||
]
|
||||
},
|
||||
"lr": {
|
||||
"type": "number"
|
||||
},
|
||||
"lr_min": {
|
||||
"type": "number"
|
||||
},
|
||||
"weight_decay": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"optimizer_type",
|
||||
"lr",
|
||||
"lr_min",
|
||||
"weight_decay"
|
||||
]
|
||||
},
|
||||
"TrainingConfig": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"n_epochs": {
|
||||
"type": "integer"
|
||||
},
|
||||
"batch_size": {
|
||||
"type": "integer"
|
||||
},
|
||||
"shuffle": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"n_iters": {
|
||||
"type": "integer"
|
||||
},
|
||||
"enable_activation_checkpointing": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"memory_efficient_fsdp_wrap": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"fsdp_cpu_offload": {
|
||||
"type": "boolean"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"n_epochs",
|
||||
"batch_size",
|
||||
"shuffle",
|
||||
"n_iters",
|
||||
"enable_activation_checkpointing",
|
||||
"memory_efficient_fsdp_wrap",
|
||||
"fsdp_cpu_offload"
|
||||
]
|
||||
}
|
||||
},
|
||||
"responses": {}
|
||||
|
|
@ -3001,27 +3150,27 @@
|
|||
}
|
||||
],
|
||||
"tags": [
|
||||
{
|
||||
"name": "RewardScoring"
|
||||
},
|
||||
{
|
||||
"name": "MemoryBanks"
|
||||
},
|
||||
{
|
||||
"name": "SyntheticDataGeneration"
|
||||
},
|
||||
{
|
||||
"name": "Finetuning"
|
||||
},
|
||||
{
|
||||
"name": "AgenticSystem"
|
||||
},
|
||||
{
|
||||
"name": "RewardScoring"
|
||||
},
|
||||
{
|
||||
"name": "Inference"
|
||||
},
|
||||
{
|
||||
"name": "SyntheticDataGeneration"
|
||||
},
|
||||
{
|
||||
"name": "Datasets"
|
||||
},
|
||||
{
|
||||
"name": "PostTraining"
|
||||
},
|
||||
{
|
||||
"name": "MemoryBanks"
|
||||
},
|
||||
{
|
||||
"name": "ShieldConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/ShieldConfig\" />"
|
||||
|
|
@ -3075,16 +3224,16 @@
|
|||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/MemoryBank\" />"
|
||||
},
|
||||
{
|
||||
"name": "FinetuningJobArtifactsResponse",
|
||||
"description": "Artifacts of a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/FinetuningJobArtifactsResponse\" />"
|
||||
"name": "PostTrainingJobArtifactsResponse",
|
||||
"description": "Artifacts of a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/PostTrainingJobArtifactsResponse\" />"
|
||||
},
|
||||
{
|
||||
"name": "FinetuningJobStatusResponse",
|
||||
"description": "Status of a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/FinetuningJobStatusResponse\" />"
|
||||
"name": "PostTrainingJobStatusResponse",
|
||||
"description": "Status of a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/PostTrainingJobStatusResponse\" />"
|
||||
},
|
||||
{
|
||||
"name": "FinetuningJobLogStream",
|
||||
"description": "Stream of logs from a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/FinetuningJobLogStream\" />"
|
||||
"name": "PostTrainingJobLogStream",
|
||||
"description": "Stream of logs from a finetuning job.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/PostTrainingJobLogStream\" />"
|
||||
},
|
||||
{
|
||||
"name": "BatchChatCompletionRequest",
|
||||
|
|
@ -3138,6 +3287,22 @@
|
|||
"name": "SyntheticDataGenerationResponse",
|
||||
"description": "Response from the synthetic data generation. Batch of (prompt, response, score) tuples that pass the threshold.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/SyntheticDataGenerationResponse\" />"
|
||||
},
|
||||
{
|
||||
"name": "DPOAlignmentConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/DPOAlignmentConfig\" />"
|
||||
},
|
||||
{
|
||||
"name": "OptimizerConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/OptimizerConfig\" />"
|
||||
},
|
||||
{
|
||||
"name": "PostTrainingRLHFRequest",
|
||||
"description": "Request to finetune a model.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/PostTrainingRLHFRequest\" />"
|
||||
},
|
||||
{
|
||||
"name": "TrainingConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/TrainingConfig\" />"
|
||||
},
|
||||
{
|
||||
"name": "RewardScoringRequest",
|
||||
"description": "Request to score a reward function. A list of prompts and a list of responses per prompt.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/RewardScoringRequest\" />"
|
||||
|
|
@ -3147,20 +3312,20 @@
|
|||
"description": "Response from the reward scoring. Batch of (prompt, response, score) tuples that pass the threshold.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/RewardScoringResponse\" />"
|
||||
},
|
||||
{
|
||||
"name": "FinetuningTrainRequest",
|
||||
"description": "Request to finetune a model.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/FinetuningTrainRequest\" />"
|
||||
"name": "DoraFinetuningConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/DoraFinetuningConfig\" />"
|
||||
},
|
||||
{
|
||||
"name": "LoraFinetuningConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/LoraFinetuningConfig\" />"
|
||||
},
|
||||
{
|
||||
"name": "OptimizerConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/OptimizerConfig\" />"
|
||||
"name": "PostTrainingSFTRequest",
|
||||
"description": "Request to finetune a model.\n\n<SchemaDefinition schemaRef=\"#/components/schemas/PostTrainingSFTRequest\" />"
|
||||
},
|
||||
{
|
||||
"name": "TrainingConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/TrainingConfig\" />"
|
||||
"name": "QLoraFinetuningConfig",
|
||||
"description": "<SchemaDefinition schemaRef=\"#/components/schemas/QLoraFinetuningConfig\" />"
|
||||
}
|
||||
],
|
||||
"x-tagGroups": [
|
||||
|
|
@ -3169,9 +3334,9 @@
|
|||
"tags": [
|
||||
"AgenticSystem",
|
||||
"Datasets",
|
||||
"Finetuning",
|
||||
"Inference",
|
||||
"MemoryBanks",
|
||||
"PostTraining",
|
||||
"RewardScoring",
|
||||
"SyntheticDataGeneration"
|
||||
]
|
||||
|
|
@ -3195,18 +3360,22 @@
|
|||
"CompletionResponse",
|
||||
"CompletionResponseStreamChunk",
|
||||
"CreateDatasetRequest",
|
||||
"DPOAlignmentConfig",
|
||||
"Dataset",
|
||||
"Dialog",
|
||||
"FinetuningJobArtifactsResponse",
|
||||
"FinetuningJobLogStream",
|
||||
"FinetuningJobStatusResponse",
|
||||
"FinetuningTrainRequest",
|
||||
"DoraFinetuningConfig",
|
||||
"KScoredPromptGenerations",
|
||||
"LoraFinetuningConfig",
|
||||
"MemoryBank",
|
||||
"Message",
|
||||
"MessageScore",
|
||||
"OptimizerConfig",
|
||||
"PostTrainingJobArtifactsResponse",
|
||||
"PostTrainingJobLogStream",
|
||||
"PostTrainingJobStatusResponse",
|
||||
"PostTrainingRLHFRequest",
|
||||
"PostTrainingSFTRequest",
|
||||
"QLoraFinetuningConfig",
|
||||
"RewardScoringRequest",
|
||||
"RewardScoringResponse",
|
||||
"ShieldConfig",
|
||||
|
|
|
|||
|
|
@ -879,6 +879,23 @@ components:
|
|||
- dataset
|
||||
title: Request to create a dataset.
|
||||
type: object
|
||||
DPOAlignmentConfig:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
epsilon:
|
||||
type: number
|
||||
gamma:
|
||||
type: number
|
||||
reward_clip:
|
||||
type: number
|
||||
reward_scale:
|
||||
type: number
|
||||
required:
|
||||
- reward_scale
|
||||
- reward_clip
|
||||
- epsilon
|
||||
- gamma
|
||||
type: object
|
||||
Dataset:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
|
|
@ -923,107 +940,8 @@ components:
|
|||
- message
|
||||
- message_history
|
||||
type: object
|
||||
FinetuningJobArtifactsResponse:
|
||||
DoraFinetuningConfig:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
checkpoints:
|
||||
items:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
iters:
|
||||
type: integer
|
||||
path:
|
||||
$ref: '#/components/schemas/URL'
|
||||
required:
|
||||
- iters
|
||||
- path
|
||||
type: object
|
||||
type: array
|
||||
job_uuid:
|
||||
type: string
|
||||
required:
|
||||
- job_uuid
|
||||
- checkpoints
|
||||
title: Artifacts of a finetuning job.
|
||||
type: object
|
||||
FinetuningJobLogStream:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
job_uuid:
|
||||
type: string
|
||||
log_lines:
|
||||
items:
|
||||
type: string
|
||||
type: array
|
||||
required:
|
||||
- job_uuid
|
||||
- log_lines
|
||||
title: Stream of logs from a finetuning job.
|
||||
type: object
|
||||
FinetuningJobStatusResponse:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
checkpoints:
|
||||
items:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
iters:
|
||||
type: integer
|
||||
path:
|
||||
$ref: '#/components/schemas/URL'
|
||||
required:
|
||||
- iters
|
||||
- path
|
||||
type: object
|
||||
type: array
|
||||
completed_at:
|
||||
format: date-time
|
||||
type: string
|
||||
job_uuid:
|
||||
type: string
|
||||
resources_allocated:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
scheduled_at:
|
||||
format: date-time
|
||||
type: string
|
||||
started_at:
|
||||
format: date-time
|
||||
type: string
|
||||
status:
|
||||
enum:
|
||||
- running
|
||||
- completed
|
||||
- failed
|
||||
- scheduled
|
||||
type: string
|
||||
required:
|
||||
- job_uuid
|
||||
- status
|
||||
- checkpoints
|
||||
title: Status of a finetuning job.
|
||||
type: object
|
||||
FinetuningTrainRequest:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
algorithm:
|
||||
enum:
|
||||
- full
|
||||
- lora
|
||||
- qlora
|
||||
- dora
|
||||
type: string
|
||||
algorithm_config:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/LoraFinetuningConfig'
|
||||
- additionalProperties: false
|
||||
properties:
|
||||
alpha:
|
||||
type: integer
|
||||
|
|
@ -1044,75 +962,6 @@ components:
|
|||
- rank
|
||||
- alpha
|
||||
type: object
|
||||
- additionalProperties: false
|
||||
properties:
|
||||
alpha:
|
||||
type: integer
|
||||
apply_lora_to_mlp:
|
||||
type: boolean
|
||||
apply_lora_to_output:
|
||||
type: boolean
|
||||
lora_attn_modules:
|
||||
items:
|
||||
type: string
|
||||
type: array
|
||||
rank:
|
||||
type: integer
|
||||
required:
|
||||
- lora_attn_modules
|
||||
- apply_lora_to_mlp
|
||||
- apply_lora_to_output
|
||||
- rank
|
||||
- alpha
|
||||
type: object
|
||||
dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
hyperparam_search_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
job_uuid:
|
||||
type: string
|
||||
logger_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
model:
|
||||
enum:
|
||||
- llama3_8b
|
||||
- llama3_70b
|
||||
type: string
|
||||
optimizer_config:
|
||||
$ref: '#/components/schemas/OptimizerConfig'
|
||||
training_config:
|
||||
$ref: '#/components/schemas/TrainingConfig'
|
||||
validation_dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
required:
|
||||
- job_uuid
|
||||
- model
|
||||
- dataset
|
||||
- validation_dataset
|
||||
- algorithm
|
||||
- algorithm_config
|
||||
- optimizer_config
|
||||
- training_config
|
||||
- hyperparam_search_config
|
||||
- logger_config
|
||||
title: Request to finetune a model.
|
||||
type: object
|
||||
KScoredPromptGenerations:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
|
|
@ -1259,6 +1108,232 @@ components:
|
|||
- lr_min
|
||||
- weight_decay
|
||||
type: object
|
||||
PostTrainingJobArtifactsResponse:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
checkpoints:
|
||||
items:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
iters:
|
||||
type: integer
|
||||
path:
|
||||
$ref: '#/components/schemas/URL'
|
||||
required:
|
||||
- iters
|
||||
- path
|
||||
type: object
|
||||
type: array
|
||||
job_uuid:
|
||||
type: string
|
||||
required:
|
||||
- job_uuid
|
||||
- checkpoints
|
||||
title: Artifacts of a finetuning job.
|
||||
type: object
|
||||
PostTrainingJobLogStream:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
job_uuid:
|
||||
type: string
|
||||
log_lines:
|
||||
items:
|
||||
type: string
|
||||
type: array
|
||||
required:
|
||||
- job_uuid
|
||||
- log_lines
|
||||
title: Stream of logs from a finetuning job.
|
||||
type: object
|
||||
PostTrainingJobStatusResponse:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
checkpoints:
|
||||
items:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
iters:
|
||||
type: integer
|
||||
path:
|
||||
$ref: '#/components/schemas/URL'
|
||||
required:
|
||||
- iters
|
||||
- path
|
||||
type: object
|
||||
type: array
|
||||
completed_at:
|
||||
format: date-time
|
||||
type: string
|
||||
job_uuid:
|
||||
type: string
|
||||
resources_allocated:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
scheduled_at:
|
||||
format: date-time
|
||||
type: string
|
||||
started_at:
|
||||
format: date-time
|
||||
type: string
|
||||
status:
|
||||
enum:
|
||||
- running
|
||||
- completed
|
||||
- failed
|
||||
- scheduled
|
||||
type: string
|
||||
required:
|
||||
- job_uuid
|
||||
- status
|
||||
- checkpoints
|
||||
title: Status of a finetuning job.
|
||||
type: object
|
||||
PostTrainingRLHFRequest:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
algorithm:
|
||||
enum:
|
||||
- dpo
|
||||
type: string
|
||||
algorithm_config:
|
||||
$ref: '#/components/schemas/DPOAlignmentConfig'
|
||||
dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
finetuned_model:
|
||||
$ref: '#/components/schemas/URL'
|
||||
hyperparam_search_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
job_uuid:
|
||||
type: string
|
||||
logger_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
optimizer_config:
|
||||
$ref: '#/components/schemas/OptimizerConfig'
|
||||
training_config:
|
||||
$ref: '#/components/schemas/TrainingConfig'
|
||||
validation_dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
required:
|
||||
- job_uuid
|
||||
- finetuned_model
|
||||
- dataset
|
||||
- validation_dataset
|
||||
- algorithm
|
||||
- algorithm_config
|
||||
- optimizer_config
|
||||
- training_config
|
||||
- hyperparam_search_config
|
||||
- logger_config
|
||||
title: Request to finetune a model.
|
||||
type: object
|
||||
PostTrainingSFTRequest:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
algorithm:
|
||||
enum:
|
||||
- full
|
||||
- lora
|
||||
- qlora
|
||||
- dora
|
||||
type: string
|
||||
algorithm_config:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/LoraFinetuningConfig'
|
||||
- $ref: '#/components/schemas/QLoraFinetuningConfig'
|
||||
- $ref: '#/components/schemas/DoraFinetuningConfig'
|
||||
dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
hyperparam_search_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
job_uuid:
|
||||
type: string
|
||||
logger_config:
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
type: object
|
||||
model:
|
||||
enum:
|
||||
- llama3_8b
|
||||
- llama3_70b
|
||||
type: string
|
||||
optimizer_config:
|
||||
$ref: '#/components/schemas/OptimizerConfig'
|
||||
training_config:
|
||||
$ref: '#/components/schemas/TrainingConfig'
|
||||
validation_dataset:
|
||||
$ref: '#/components/schemas/Dataset'
|
||||
required:
|
||||
- job_uuid
|
||||
- model
|
||||
- dataset
|
||||
- validation_dataset
|
||||
- algorithm
|
||||
- algorithm_config
|
||||
- optimizer_config
|
||||
- training_config
|
||||
- hyperparam_search_config
|
||||
- logger_config
|
||||
title: Request to finetune a model.
|
||||
type: object
|
||||
QLoraFinetuningConfig:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
alpha:
|
||||
type: integer
|
||||
apply_lora_to_mlp:
|
||||
type: boolean
|
||||
apply_lora_to_output:
|
||||
type: boolean
|
||||
lora_attn_modules:
|
||||
items:
|
||||
type: string
|
||||
type: array
|
||||
rank:
|
||||
type: integer
|
||||
required:
|
||||
- lora_attn_modules
|
||||
- apply_lora_to_mlp
|
||||
- apply_lora_to_output
|
||||
- rank
|
||||
- alpha
|
||||
type: object
|
||||
RewardScoringRequest:
|
||||
additionalProperties: false
|
||||
properties:
|
||||
|
|
@ -1581,71 +1656,6 @@ paths:
|
|||
description: OK
|
||||
tags:
|
||||
- Datasets
|
||||
/finetuning/job/artifacts:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/FinetuningJobArtifactsResponse'
|
||||
description: OK
|
||||
tags:
|
||||
- Finetuning
|
||||
/finetuning/job/logs:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/FinetuningJobLogStream'
|
||||
description: OK
|
||||
tags:
|
||||
- Finetuning
|
||||
/finetuning/job/status:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/FinetuningJobStatusResponse'
|
||||
description: OK
|
||||
tags:
|
||||
- Finetuning
|
||||
/finetuning/text_generation/train:
|
||||
post:
|
||||
parameters: []
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/FinetuningTrainRequest'
|
||||
required: true
|
||||
responses:
|
||||
'200':
|
||||
description: OK
|
||||
tags:
|
||||
- Finetuning
|
||||
/memory_banks/create:
|
||||
post:
|
||||
parameters:
|
||||
|
|
@ -1787,6 +1797,85 @@ paths:
|
|||
description: OK
|
||||
tags:
|
||||
- MemoryBanks
|
||||
/post_training/job/artifacts:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/PostTrainingJobArtifactsResponse'
|
||||
description: OK
|
||||
tags:
|
||||
- PostTraining
|
||||
/post_training/job/logs:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/PostTrainingJobLogStream'
|
||||
description: OK
|
||||
tags:
|
||||
- PostTraining
|
||||
/post_training/job/status:
|
||||
get:
|
||||
parameters:
|
||||
- in: query
|
||||
name: job_uuid
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
responses:
|
||||
'200':
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/PostTrainingJobStatusResponse'
|
||||
description: OK
|
||||
tags:
|
||||
- PostTraining
|
||||
/post_training/preference_optimize/:
|
||||
post:
|
||||
parameters: []
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/PostTrainingRLHFRequest'
|
||||
required: true
|
||||
responses:
|
||||
'200':
|
||||
description: OK
|
||||
tags:
|
||||
- PostTraining
|
||||
/post_training/supervised_fine_tune/:
|
||||
post:
|
||||
parameters: []
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/PostTrainingSFTRequest'
|
||||
required: true
|
||||
responses:
|
||||
'200':
|
||||
description: OK
|
||||
tags:
|
||||
- PostTraining
|
||||
/reward_scoring/score:
|
||||
post:
|
||||
parameters: []
|
||||
|
|
@ -1828,13 +1917,13 @@ security:
|
|||
servers:
|
||||
- url: http://llama.meta.com
|
||||
tags:
|
||||
- name: RewardScoring
|
||||
- name: MemoryBanks
|
||||
- name: SyntheticDataGeneration
|
||||
- name: Finetuning
|
||||
- name: AgenticSystem
|
||||
- name: RewardScoring
|
||||
- name: Inference
|
||||
- name: SyntheticDataGeneration
|
||||
- name: Datasets
|
||||
- name: PostTraining
|
||||
- name: MemoryBanks
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/ShieldConfig" />
|
||||
name: ShieldConfig
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/AgenticSystemCreateRequest"
|
||||
|
|
@ -1888,20 +1977,20 @@ tags:
|
|||
- description: 'Artifacts of a finetuning job.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/FinetuningJobArtifactsResponse"
|
||||
<SchemaDefinition schemaRef="#/components/schemas/PostTrainingJobArtifactsResponse"
|
||||
/>'
|
||||
name: FinetuningJobArtifactsResponse
|
||||
name: PostTrainingJobArtifactsResponse
|
||||
- description: 'Status of a finetuning job.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/FinetuningJobStatusResponse"
|
||||
<SchemaDefinition schemaRef="#/components/schemas/PostTrainingJobStatusResponse"
|
||||
/>'
|
||||
name: FinetuningJobStatusResponse
|
||||
name: PostTrainingJobStatusResponse
|
||||
- description: 'Stream of logs from a finetuning job.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/FinetuningJobLogStream" />'
|
||||
name: FinetuningJobLogStream
|
||||
<SchemaDefinition schemaRef="#/components/schemas/PostTrainingJobLogStream" />'
|
||||
name: PostTrainingJobLogStream
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/BatchChatCompletionRequest"
|
||||
/>
|
||||
name: BatchChatCompletionRequest
|
||||
|
|
@ -1961,6 +2050,19 @@ tags:
|
|||
<SchemaDefinition schemaRef="#/components/schemas/SyntheticDataGenerationResponse"
|
||||
/>'
|
||||
name: SyntheticDataGenerationResponse
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/DPOAlignmentConfig"
|
||||
/>
|
||||
name: DPOAlignmentConfig
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/OptimizerConfig"
|
||||
/>
|
||||
name: OptimizerConfig
|
||||
- description: 'Request to finetune a model.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/PostTrainingRLHFRequest" />'
|
||||
name: PostTrainingRLHFRequest
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/TrainingConfig" />
|
||||
name: TrainingConfig
|
||||
- description: 'Request to score a reward function. A list of prompts and a list of
|
||||
responses per prompt.
|
||||
|
||||
|
|
@ -1973,27 +2075,28 @@ tags:
|
|||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/RewardScoringResponse" />'
|
||||
name: RewardScoringResponse
|
||||
- description: 'Request to finetune a model.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/FinetuningTrainRequest" />'
|
||||
name: FinetuningTrainRequest
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/DoraFinetuningConfig"
|
||||
/>
|
||||
name: DoraFinetuningConfig
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/LoraFinetuningConfig"
|
||||
/>
|
||||
name: LoraFinetuningConfig
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/OptimizerConfig"
|
||||
- description: 'Request to finetune a model.
|
||||
|
||||
|
||||
<SchemaDefinition schemaRef="#/components/schemas/PostTrainingSFTRequest" />'
|
||||
name: PostTrainingSFTRequest
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/QLoraFinetuningConfig"
|
||||
/>
|
||||
name: OptimizerConfig
|
||||
- description: <SchemaDefinition schemaRef="#/components/schemas/TrainingConfig" />
|
||||
name: TrainingConfig
|
||||
name: QLoraFinetuningConfig
|
||||
x-tagGroups:
|
||||
- name: Operations
|
||||
tags:
|
||||
- AgenticSystem
|
||||
- Datasets
|
||||
- Finetuning
|
||||
- Inference
|
||||
- MemoryBanks
|
||||
- PostTraining
|
||||
- RewardScoring
|
||||
- SyntheticDataGeneration
|
||||
- name: Types
|
||||
|
|
@ -2014,18 +2117,22 @@ x-tagGroups:
|
|||
- CompletionResponse
|
||||
- CompletionResponseStreamChunk
|
||||
- CreateDatasetRequest
|
||||
- DPOAlignmentConfig
|
||||
- Dataset
|
||||
- Dialog
|
||||
- FinetuningJobArtifactsResponse
|
||||
- FinetuningJobLogStream
|
||||
- FinetuningJobStatusResponse
|
||||
- FinetuningTrainRequest
|
||||
- DoraFinetuningConfig
|
||||
- KScoredPromptGenerations
|
||||
- LoraFinetuningConfig
|
||||
- MemoryBank
|
||||
- Message
|
||||
- MessageScore
|
||||
- OptimizerConfig
|
||||
- PostTrainingJobArtifactsResponse
|
||||
- PostTrainingJobLogStream
|
||||
- PostTrainingJobStatusResponse
|
||||
- PostTrainingRLHFRequest
|
||||
- PostTrainingSFTRequest
|
||||
- QLoraFinetuningConfig
|
||||
- RewardScoringRequest
|
||||
- RewardScoringResponse
|
||||
- ShieldConfig
|
||||
|
|
|
|||
|
|
@ -72,11 +72,13 @@ class LoraFinetuningConfig:
|
|||
alpha: int
|
||||
|
||||
|
||||
@json_schema_type
|
||||
@dataclass
|
||||
class QLoraFinetuningConfig(LoraFinetuningConfig):
|
||||
pass
|
||||
|
||||
|
||||
@json_schema_type
|
||||
@dataclass
|
||||
class DoraFinetuningConfig(LoraFinetuningConfig):
|
||||
pass
|
||||
|
|
@ -84,14 +86,14 @@ class DoraFinetuningConfig(LoraFinetuningConfig):
|
|||
|
||||
@json_schema_type
|
||||
@dataclass
|
||||
class FinetuningJobLogStream:
|
||||
class PostTrainingJobLogStream:
|
||||
"""Stream of logs from a finetuning job."""
|
||||
|
||||
job_uuid: str
|
||||
log_lines: List[str]
|
||||
|
||||
|
||||
class FinetuningJobStatus(Enum):
|
||||
class PostTrainingJobStatus(Enum):
|
||||
running = "running"
|
||||
completed = "completed"
|
||||
failed = "failed"
|
||||
|
|
@ -102,3 +104,16 @@ class FinetuningJobStatus(Enum):
|
|||
class Checkpoint:
|
||||
iters: int
|
||||
path: URL
|
||||
|
||||
|
||||
class RLHFAlgorithm(Enum):
|
||||
dpo = "dpo"
|
||||
|
||||
|
||||
@json_schema_type
|
||||
@dataclass
|
||||
class DPOAlignmentConfig:
|
||||
reward_scale: float
|
||||
reward_clip: float
|
||||
epsilon: float
|
||||
gamma: float
|
||||
Loading…
Add table
Add a link
Reference in a new issue