From bc88283990c0ced92779836310614af8a435b53b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Tue, 16 Dec 2025 17:42:02 +0800 Subject: [PATCH 01/13] [WIP]init on-policy distillation --- trinity/algorithm/advantage_fn/__init__.py | 4 + .../on_policy_distill_advantage.py | 69 +++++++++++++ trinity/algorithm/algorithm.py | 31 ++++++ trinity/algorithm/policy_loss_fn/__init__.py | 4 + .../importance_sampling_policy_loss.py | 61 ++++++++++++ trinity/common/experience.py | 21 ++++ trinity/common/workflows/__init__.py | 7 ++ .../workflows/on_policy_distill_workflow.py | 99 +++++++++++++++++++ trinity/common/workflows/workflow.py | 33 +++++-- trinity/explorer/workflow_runner.py | 1 + trinity/trainer/verl/utils.py | 2 + 11 files changed, 325 insertions(+), 7 deletions(-) create mode 100644 trinity/algorithm/advantage_fn/on_policy_distill_advantage.py create mode 100644 trinity/algorithm/policy_loss_fn/importance_sampling_policy_loss.py create mode 100644 trinity/common/workflows/on_policy_distill_workflow.py diff --git a/trinity/algorithm/advantage_fn/__init__.py b/trinity/algorithm/advantage_fn/__init__.py index f8349062f1..a7465a81ea 100644 --- a/trinity/algorithm/advantage_fn/__init__.py +++ b/trinity/algorithm/advantage_fn/__init__.py @@ -11,6 +11,9 @@ from trinity.algorithm.advantage_fn.multi_step_grpo_advantage import ( StepWiseGRPOAdvantageFn, ) +from trinity.algorithm.advantage_fn.on_policy_distill_advantage import ( + OnPolicyDistillAdvantage, +) from trinity.algorithm.advantage_fn.opmd_advantage import ( OPMDAdvantageFn, OPMDGroupAdvantage, @@ -40,4 +43,5 @@ "REINFORCEGroupAdvantage", "ASYMREAdvantageFn", "RECGroupedAdvantage", + "OnPolicyDistillAdvantage", ] diff --git a/trinity/algorithm/advantage_fn/on_policy_distill_advantage.py b/trinity/algorithm/advantage_fn/on_policy_distill_advantage.py new file mode 100644 index 0000000000..0e4dad33a1 --- /dev/null +++ b/trinity/algorithm/advantage_fn/on_policy_distill_advantage.py @@ -0,0 +1,69 @@ +# -*- coding: utf-8 -*- +"""On-Policy Distillation advantage computation. + +Reference: Tinker library's on-policy distillation. + +advantages = -(student_logprobs - teacher_logprobs) + = teacher_logprobs - student_logprobs +""" + +from typing import Dict, Tuple + +from verl import DataProto + +from trinity.algorithm.advantage_fn.advantage_fn import ADVANTAGE_FN, AdvantageFn + + +@ADVANTAGE_FN.register_module("on_policy_distill") +class OnPolicyDistillAdvantage(AdvantageFn): + """Advantage function for on-policy distillation. + + Computes: advantages = kl_coef * (teacher_logprobs - student_logprobs) + + The teacher_logprobs should be stored in Experience.teacher_logprobs + by the workflow during exploration. + """ + + def __init__(self, kl_coef: float = 1.0) -> None: + self.kl_coef = kl_coef + + def __call__(self, exps: DataProto, **kwargs) -> Tuple[DataProto, Dict]: + """Compute advantages from teacher and student logprobs. + + Args: + exps: DataProto containing: + - old_log_probs: student's sampling logprobs [batch, seq] + - teacher_log_probs: teacher's logprobs [batch, seq] + - response_mask: mask for response tokens [batch, seq] + + Returns: + exps: DataProto with advantages and returns added + metrics: Dict with kl and advantage statistics + """ + metrics = {} + + old_log_probs = exps.batch["old_log_probs"] # student sampling logprobs + teacher_log_probs = exps.batch["teacher_log_probs"] + response_mask = exps.batch["response_mask"] + + # advantages = -(student - teacher) = teacher - student + advantages = self.kl_coef * (teacher_log_probs - old_log_probs) + + # Apply mask + advantages = advantages * response_mask + + exps.batch["advantages"] = advantages + exps.batch["returns"] = advantages.clone() + + # Metrics + kl_per_token = old_log_probs - teacher_log_probs + kl_sum = (kl_per_token * response_mask).sum(dim=-1) + metrics["kl/mean"] = kl_sum.mean().item() + metrics["kl/std"] = kl_sum.std().item() if kl_sum.numel() > 1 else 0.0 + metrics["advantages/mean"] = advantages.sum(dim=-1).mean().item() + + return exps, metrics + + @classmethod + def default_args(cls) -> Dict: + return {"kl_coef": 1.0} diff --git a/trinity/algorithm/algorithm.py b/trinity/algorithm/algorithm.py index 4384da7b8e..94807eb386 100644 --- a/trinity/algorithm/algorithm.py +++ b/trinity/algorithm/algorithm.py @@ -384,3 +384,34 @@ def default_config(cls) -> Dict: "kl_loss_fn": "k2", "entropy_loss_fn": "default", } + + +@ALGORITHM_TYPE.register_module("on_policy_distill") +class OnPolicyDistillAlgorithm(AlgorithmType): + """On-Policy Distillation Algorithm. + + Reference: Tinker library. + + Workflow stores teacher_logprobs in experience.info["teacher_logprobs"]. + Trainer's advantage_fn computes: advantages = teacher_logprobs - student_logprobs + Trainer uses: importance_sampling loss (no clip) + """ + + use_critic: bool = False + use_reference: bool = False + compute_advantage_in_trainer: bool = True # advantage_fn computes from teacher_logprobs + can_balance_batch: bool = True + schema: str = "experience" + + @classmethod + def default_config(cls) -> Dict: + return { + "repeat_times": 8, + "advantage_fn": "on_policy_distill", + "advantage_fn_args": {"kl_coef": 1.0}, + "sample_strategy": "default", + "policy_loss_fn": "importance_sampling", + "kl_penalty_fn": "none", + "kl_loss_fn": "none", + "entropy_loss_fn": "none", + } diff --git a/trinity/algorithm/policy_loss_fn/__init__.py b/trinity/algorithm/policy_loss_fn/__init__.py index 4f7b70b917..b66f93e4d9 100644 --- a/trinity/algorithm/policy_loss_fn/__init__.py +++ b/trinity/algorithm/policy_loss_fn/__init__.py @@ -6,6 +6,9 @@ from trinity.algorithm.policy_loss_fn.cispo_policy_loss import CISPOPolicyLossFn from trinity.algorithm.policy_loss_fn.dpo_loss import DPOLossFn from trinity.algorithm.policy_loss_fn.gspo_policy_loss import GSPOLossFn +from trinity.algorithm.policy_loss_fn.importance_sampling_policy_loss import ( + ImportanceSamplingLossFn, +) from trinity.algorithm.policy_loss_fn.mix_policy_loss import MIXPolicyLossFn from trinity.algorithm.policy_loss_fn.opmd_policy_loss import OPMDPolicyLossFn from trinity.algorithm.policy_loss_fn.policy_loss_fn import POLICY_LOSS_FN, PolicyLossFn @@ -31,4 +34,5 @@ "SFTPhiLossFn", "sPPOPolicyLossFn", "RECPolicyLossFn", + "ImportanceSamplingLossFn", ] diff --git a/trinity/algorithm/policy_loss_fn/importance_sampling_policy_loss.py b/trinity/algorithm/policy_loss_fn/importance_sampling_policy_loss.py new file mode 100644 index 0000000000..bc60f77eb0 --- /dev/null +++ b/trinity/algorithm/policy_loss_fn/importance_sampling_policy_loss.py @@ -0,0 +1,61 @@ +# -*- coding: utf-8 -*- +"""The most simple Importance Sampling policy loss. + +loss = -(prob_ratio * advantages).sum() +where prob_ratio = exp(current_logprobs - sampling_logprobs) + +Note: This loss is used for on-policy distillation. +""" + +from typing import Dict, Tuple + +import torch + +from trinity.algorithm.policy_loss_fn.policy_loss_fn import POLICY_LOSS_FN, PolicyLossFn +from trinity.algorithm.utils import aggregate_loss, masked_mean + + +@POLICY_LOSS_FN.register_module("importance_sampling") +class ImportanceSamplingLossFn(PolicyLossFn): + """Pure importance sampling loss without clipping. + + loss = -(ratio * advantages) + where ratio = exp(logprob - old_logprob) + """ + + def __init__( + self, + backend: str = "verl", + loss_agg_mode: str = "token-mean", + ) -> None: + super().__init__(backend=backend) + self.loss_agg_mode = loss_agg_mode + + def __call__( # type: ignore + self, + logprob: torch.Tensor, + old_logprob: torch.Tensor, + action_mask: torch.Tensor, + advantages: torch.Tensor, + **kwargs, + ) -> Tuple[torch.Tensor, Dict]: + # prob_ratio = exp(current_logprobs - sampling_logprobs) + log_ratio = logprob - old_logprob + log_ratio = torch.clamp(log_ratio, min=-20.0, max=20.0) + ratio = torch.exp(log_ratio) + + # loss = -(prob_ratio * advantages) + pg_losses = -advantages * ratio + pg_loss = aggregate_loss(pg_losses, action_mask, loss_agg_mode=self.loss_agg_mode) + + metrics = { + "pg_loss": pg_loss.detach().item(), + "ratio/mean": masked_mean(ratio, action_mask).detach().item(), + "approx_kl": masked_mean(-log_ratio, action_mask).detach().item(), + } + + return pg_loss, metrics + + @classmethod + def default_args(cls) -> Dict: + return {"loss_agg_mode": "token-mean"} diff --git a/trinity/common/experience.py b/trinity/common/experience.py index 2a734144d2..0f94e0bdd5 100644 --- a/trinity/common/experience.py +++ b/trinity/common/experience.py @@ -133,6 +133,9 @@ class Experience: # for multi-modal data multi_modal_inputs: Optional[Dict[str, Tensor]] = None # Multi-modal inputs for verl trainer + # for on-policy distillation + teacher_logprobs: Optional[Tensor] = None # [resp_length] + def __init__( # noqa: C901 self, *, @@ -157,6 +160,7 @@ def __init__( # noqa: C901 chosen_messages=None, rejected_messages=None, multi_modal_inputs=None, + teacher_logprobs=None, ): if action_mask is not None: experience_type = "multi_turn" @@ -229,6 +233,11 @@ def __init__( # noqa: C901 else: self.multi_modal_inputs[key] = value + # Handle teacher_logprobs + if isinstance(teacher_logprobs, list): + teacher_logprobs = torch.tensor(teacher_logprobs, dtype=torch.float32) + self.teacher_logprobs = teacher_logprobs + if not isinstance(self.tokens, Tensor): self.tokens = torch.tensor(self.tokens) if self.logprobs is not None and not isinstance(self.logprobs, Tensor): @@ -239,6 +248,8 @@ def __init__( # noqa: C901 self.chosen = torch.tensor(self.chosen) if self.rejected is not None and not isinstance(self.rejected, Tensor): self.rejected = torch.tensor(self.rejected) + if self.teacher_logprobs is not None and not isinstance(self.teacher_logprobs, Tensor): + self.teacher_logprobs = torch.tensor(self.teacher_logprobs, dtype=torch.float32) def serialize(self) -> bytes: """Serialize the experience to bytes.""" @@ -341,6 +352,14 @@ def gather( else: multi_modal_inputs = None + # gather teacher_logprobs + if all(exp.teacher_logprobs is not None for exp in experiences): + teacher_logprobs = gather_response_attrs( + experiences, "teacher_logprobs", max_response_length + ) + else: + teacher_logprobs = None + exps = Experiences( eids=eids, tokens=tokens, @@ -353,6 +372,7 @@ def gather( prompt_length=max_prompt_length, logprobs=logprobs, multi_modal_inputs=multi_modal_inputs, + teacher_logprobs=teacher_logprobs, ) if custom_fields is not None: for custom_field in custom_fields: @@ -442,6 +462,7 @@ class Experiences: custom_fields: List[str] = field( default_factory=list ) # Custom fields to include in the gathered experiences + teacher_logprobs: Optional[Tensor] = None # [batch_size, response_length] @property def batch_size(self) -> int: diff --git a/trinity/common/workflows/__init__.py b/trinity/common/workflows/__init__.py index 847a3d8707..27bd5f2791 100644 --- a/trinity/common/workflows/__init__.py +++ b/trinity/common/workflows/__init__.py @@ -47,6 +47,10 @@ from trinity.common.workflows.math_trainable_ruler_workflow import ( MathTrainableRULERWorkflow, ) +from trinity.common.workflows.on_policy_distill_workflow import ( + AsyncOnPolicyDistillWorkflow, + OnPolicyDistillWorkflow, +) from trinity.common.workflows.rubric_judge_workflow import RubricJudgeWorkflow from trinity.common.workflows.simple_mm_workflow import ( AsyncSimpleMMWorkflow, @@ -96,4 +100,7 @@ "RubricJudgeWorkflow", "AgentScopeWorkflowAdapter", "FrozenLakeWorkflow", + # On-policy distillation workflows + "OnPolicyDistillWorkflow", + "AsyncOnPolicyDistillWorkflow", ] diff --git a/trinity/common/workflows/on_policy_distill_workflow.py b/trinity/common/workflows/on_policy_distill_workflow.py new file mode 100644 index 0000000000..d4498c0ea9 --- /dev/null +++ b/trinity/common/workflows/on_policy_distill_workflow.py @@ -0,0 +1,99 @@ +# -*- coding: utf-8 -*- +"""On-Policy Distillation Workflow. + +Reference: Tinker library's on-policy distillation implementation. + +Algorithm: +1. Student samples trajectories (with logprobs) +2. Teacher computes logprobs on same trajectories +3. Store teacher_logprobs in experience.info["teacher_logprobs"] +4. Trainer's advantage_fn computes: advantages = teacher_logprobs - student_logprobs +5. Train with importance_sampling loss +""" + +from typing import List, Optional + +import openai +import torch + +from trinity.common.experience import Experience +from trinity.common.models.model import ModelWrapper +from trinity.common.workflows.workflow import WORKFLOWS, BaseSimpleWorkflow, Task + + +@WORKFLOWS.register_module("on_policy_distill_workflow") +class OnPolicyDistillWorkflow(BaseSimpleWorkflow): + """On-policy distillation workflow. + + Computes and stores teacher_logprobs in experience.info. + The advantage_fn in trainer will compute: + advantages = teacher_logprobs - student_logprobs + """ + + is_async: bool = True + can_reset: bool = True + can_repeat: bool = True + + def __init__( + self, + *, + task: Task, + model: ModelWrapper, + auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_model_wrappers: Optional[List[ModelWrapper]] = None, + ): + super().__init__(task=task, model=model, auxiliary_models=auxiliary_models) + self.auxiliary_model_wrappers = auxiliary_model_wrappers + + assert ( + auxiliary_model_wrappers is not None and len(auxiliary_model_wrappers) >= 1 + ), "On-policy distillation requires at least one auxiliary model as teacher." + self.teacher_model = auxiliary_model_wrappers[0] + + self.temperature = task.workflow_args.get("temperature", 1.0) + + async def run_async(self) -> List[Experience]: + messages = self.format_messages() + + # Step 1: Student samples trajectories + responses = await self.model.chat_async(messages, **self.rollout_args) + + for i, response in enumerate(responses): + # Step 2: Teacher computes logprobs + teacher_logprobs = await self.teacher_model.logprobs_async( + tokens=response.tokens.tolist(), + temperature=self.temperature, + ) + + # Extract response portion + resp_start = response.prompt_length - 1 + teacher_resp_logprobs = teacher_logprobs[resp_start:] + student_resp_logprobs = response.logprobs + + # Match lengths + target_len = len(student_resp_logprobs) + if len(teacher_resp_logprobs) > target_len: + teacher_resp_logprobs = teacher_resp_logprobs[:target_len] + elif len(teacher_resp_logprobs) < target_len: + padding = torch.zeros(target_len - len(teacher_resp_logprobs)) + teacher_resp_logprobs = torch.cat([teacher_resp_logprobs, padding]) + + # Step 3: Store teacher_logprobs for advantage_fn + response.teacher_logprobs = teacher_resp_logprobs + + # Set a dummy reward (actual advantage computed by advantage_fn) + response.reward = 0.0 + response.eid.run = i + self.run_id_base + + # Metrics for monitoring + if response.metrics is None: + response.metrics = {} + kl = (student_resp_logprobs - teacher_resp_logprobs).sum().item() + response.metrics["kl_divergence"] = kl + + return responses + + +@WORKFLOWS.register_module("async_on_policy_distill_workflow") +class AsyncOnPolicyDistillWorkflow(OnPolicyDistillWorkflow): + pass diff --git a/trinity/common/workflows/workflow.py b/trinity/common/workflows/workflow.py index 90f52a2505..3d04adbaa1 100644 --- a/trinity/common/workflows/workflow.py +++ b/trinity/common/workflows/workflow.py @@ -3,6 +3,7 @@ from __future__ import annotations +import inspect from dataclasses import asdict, dataclass, field from typing import Any, List, Optional, Type, Union @@ -40,13 +41,18 @@ class Task(dict): index: dict = field(default_factory=dict) def to_workflow( - self, model: Any, auxiliary_models: Optional[List[openai.OpenAI]] = None + self, + model: Any, + auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_model_wrappers: Optional[List["ModelWrapper"]] = None, ) -> Workflow: """Convert the task to a workflow. Args: model (ModelWrapper): The rollout model for the workflow. - auxiliary_models (List[openai.OpenAI]): The auxiliary models for the workflow. + auxiliary_models (List[openai.OpenAI]): The auxiliary models for the workflow (OpenAI clients). + auxiliary_model_wrappers (List[ModelWrapper]): The auxiliary model wrappers. + Only passed to workflows that explicitly declare this parameter in __init__. Note: `model_path` attribute is added to the `auxiliary_models` for use within the workflow. @@ -54,11 +60,22 @@ def to_workflow( Returns: Workflow: The generated workflow object. """ - return self.workflow( - model=model, - task=self, - auxiliary_models=auxiliary_models, - ) + # Check if the workflow supports auxiliary_model_wrappers parameter + sig = inspect.signature(self.workflow.__init__) + if "auxiliary_model_wrappers" in sig.parameters: + return self.workflow( + model=model, + task=self, + auxiliary_models=auxiliary_models, + auxiliary_model_wrappers=auxiliary_model_wrappers, + ) + else: + # Backward compatibility: existing workflows don't need this parameter + return self.workflow( + model=model, + task=self, + auxiliary_models=auxiliary_models, + ) # Deprecated property, will be removed in the future @property @@ -92,10 +109,12 @@ def __init__( task: Task, model: ModelWrapper, auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_model_wrappers: Optional[List[ModelWrapper]] = None, ): self.task = task self.model = model self.auxiliary_models = auxiliary_models + self.auxiliary_model_wrappers = auxiliary_model_wrappers self.run_id_base = 0 self.logger = get_logger(__name__) diff --git a/trinity/explorer/workflow_runner.py b/trinity/explorer/workflow_runner.py index 8917274dd5..aa701c2224 100644 --- a/trinity/explorer/workflow_runner.py +++ b/trinity/explorer/workflow_runner.py @@ -111,6 +111,7 @@ def _create_workflow_instance(self, task: Task) -> None: if task.workflow.is_async else self.auxiliary_model_clients ), + auxiliary_model_wrappers=self.auxiliary_models, ) else: self.workflow_instance.reset(task) diff --git a/trinity/trainer/verl/utils.py b/trinity/trainer/verl/utils.py index ab50b7c877..922182e643 100644 --- a/trinity/trainer/verl/utils.py +++ b/trinity/trainer/verl/utils.py @@ -58,6 +58,8 @@ def to_data_proto(experiences: Experiences, logger: Logger) -> DataProto: # noq batch_dict["advantages"] = experiences.advantages if experiences.returns is not None: batch_dict["returns"] = experiences.returns + if experiences.teacher_logprobs is not None: + batch_dict["teacher_log_probs"] = experiences.teacher_logprobs if experiences.multi_modal_inputs is not None: batch_size = len(batch_dict["unique_ids"]) From d081921453f31a4b439757fdcc299da70e0aa0d6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Tue, 16 Dec 2025 17:57:23 +0800 Subject: [PATCH 02/13] assert instead of padding in workflow --- .../common/workflows/on_policy_distill_workflow.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/trinity/common/workflows/on_policy_distill_workflow.py b/trinity/common/workflows/on_policy_distill_workflow.py index d4498c0ea9..69e0b616de 100644 --- a/trinity/common/workflows/on_policy_distill_workflow.py +++ b/trinity/common/workflows/on_policy_distill_workflow.py @@ -14,7 +14,6 @@ from typing import List, Optional import openai -import torch from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper @@ -70,13 +69,12 @@ async def run_async(self) -> List[Experience]: teacher_resp_logprobs = teacher_logprobs[resp_start:] student_resp_logprobs = response.logprobs - # Match lengths - target_len = len(student_resp_logprobs) - if len(teacher_resp_logprobs) > target_len: - teacher_resp_logprobs = teacher_resp_logprobs[:target_len] - elif len(teacher_resp_logprobs) < target_len: - padding = torch.zeros(target_len - len(teacher_resp_logprobs)) - teacher_resp_logprobs = torch.cat([teacher_resp_logprobs, padding]) + # Verify lengths match (they should be equal for the same token sequence) + assert len(teacher_resp_logprobs) == len(student_resp_logprobs), ( + f"Length mismatch: teacher_logprobs={len(teacher_resp_logprobs)}, " + f"student_logprobs={len(student_resp_logprobs)}. " + f"tokens={len(response.tokens)}, prompt_length={response.prompt_length}" + ) # Step 3: Store teacher_logprobs for advantage_fn response.teacher_logprobs = teacher_resp_logprobs From b4ec917d357abe6e75c1614fac42cb84a574d587 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Wed, 17 Dec 2025 16:00:10 +0800 Subject: [PATCH 03/13] change default loss to ppo with clip --- trinity/algorithm/algorithm.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/trinity/algorithm/algorithm.py b/trinity/algorithm/algorithm.py index 0472f5f1b6..81354a02ab 100644 --- a/trinity/algorithm/algorithm.py +++ b/trinity/algorithm/algorithm.py @@ -490,7 +490,9 @@ class OnPolicyDistillAlgorithm(AlgorithmType): Workflow stores teacher_logprobs in experience.info["teacher_logprobs"]. Trainer's advantage_fn computes: advantages = teacher_logprobs - student_logprobs - Trainer uses: importance_sampling loss (no clip) + Trainer uses: + importance_sampling loss if no clipping is needed + ppo loss if clipping is needed, for better stability """ use_critic: bool = False @@ -506,7 +508,7 @@ def default_config(cls) -> Dict: "advantage_fn": "on_policy_distill", "advantage_fn_args": {"kl_coef": 1.0}, "sample_strategy": "default", - "policy_loss_fn": "importance_sampling", + "policy_loss_fn": "ppo", # or importance_sampling if no clipping is needed "kl_penalty_fn": "none", "kl_loss_fn": "none", "entropy_loss_fn": "none", From 2dd56e090525e88dcf22d5985064232eece7b10e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Wed, 17 Dec 2025 18:20:38 +0800 Subject: [PATCH 04/13] actual run and add on-policy distillation example in GSM8K --- docs/sphinx_doc/assets/opd_acc.png | Bin 0 -> 172116 bytes docs/sphinx_doc/assets/opd_kl.png | Bin 0 -> 173410 bytes 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zzNbCn=Z7pBVel4IF@+{S0(s@{jzUm2L_SMb+!jgvkPgO54G{eY>3`SSd=bQusA%s7 zoeWC52hCHXi~a*uvr`B3^jo#sH8ap^88OvAyB~iVG{%5H*ve3$+QwB`VbTl#=fm*y z$W)CYuIp=k7nd`IO+Q&hJ2`m4kS04~fa?B7d+tvzMn&ZM-r7lE>;CiN{qHYs+%WOu zrv6$ZSa_YdI+9iGvmon5D>mpae=khnkKO^5mh$AT?)Q)SiAP7^@z zFWQRq!$;90e&E}42WiFyH+_@BmB+5-JR|NodLXlr0d1|`8&OH1?K36o`myCEUM7Q# z{U}jA(wk3j1+fUKB!2ZUd!&Vv;RK4phRgdn$+~{ddVqg`bgTB4hY11H-Rku3J`A4? z{&x~%?CSZmkF&hK;gpH*yf$QtE<*WiN ztzDS4Ui^V<*y9JO(X+7D(L&@A-#buikMGLcBF;l{4&0U@5lIe*#mXVcfMThA)@=kc@RoaZn7){0J?MEdZ(8@`*j8=Zui`x*|ABoh@Z zu$(d=kzCxI#6Yu_?sxdb*=mjOMKF<1Sc>_3zqp7Z^uUiC0qiN*f-{l+K0NmII<)2l{Ffi_5pg#xq}ETQdyRho zVXJu~)~d)y;8OCvQr+>jO%LlxK7po5exwQd_ri(hy|HmmtqSJ#uP%lcCz?wL&@j4* z+}yn1= 1 @@ -51,6 +62,49 @@ def __init__( self.temperature = task.workflow_args.get("temperature", 1.0) + def reset(self, task: Task): + """Reset the workflow with a new task. + + Unlike BaseSimpleWorkflow, this does NOT require reward_fn. + """ + self.task = task + self.format_args = task.format_args + self.system_prompt = task.format_args.system_prompt + self.reply_prefix = task.format_args.reply_prefix + self.raw_task = task.raw_task + self.task_desc = task.task_desc + self.truth = task.truth + + def set_repeat_times(self, repeat_times, run_id_base): + self.repeat_times = repeat_times + self.task.rollout_args.n = repeat_times + self.run_id_base = run_id_base + + @property + def rollout_args(self): + return asdict(self.task.rollout_args) + + def format_messages(self): + """Format messages for the instruct model. + + Default format: system_prompt (optional) + task_desc + reply_prefix (optional) + """ + messages = [] + if self.system_prompt: + messages.append({"role": "system", "content": self.system_prompt}) + messages.append({"role": "user", "content": self.task_desc}) + if self.reply_prefix: + messages.append({"role": "assistant", "content": self.reply_prefix}) + return messages + + def compute_reward(self, response: Experience) -> float: + """Compute reward for a response. + + In base class, returns 0.0 as advantage is computed from teacher-student logprobs. + Subclasses can override this to compute actual rewards. + """ + return 0.0 + async def run_async(self) -> List[Experience]: messages = self.format_messages() @@ -79,13 +133,16 @@ async def run_async(self) -> List[Experience]: # Step 3: Store teacher_logprobs for advantage_fn response.teacher_logprobs = teacher_resp_logprobs - # Set a dummy reward (actual advantage computed by advantage_fn) - response.reward = 0.0 - response.eid.run = i + self.run_id_base - - # Metrics for monitoring + # Initialize metrics if response.metrics is None: response.metrics = {} + + # Compute reward (subclasses can override compute_reward) + response.reward = self.compute_reward(response) + + response.eid.run = i + self.run_id_base + + # KL divergence for monitoring kl = (student_resp_logprobs - teacher_resp_logprobs).sum().item() response.metrics["kl_divergence"] = kl @@ -94,4 +151,53 @@ async def run_async(self) -> List[Experience]: @WORKFLOWS.register_module("async_on_policy_distill_workflow") class AsyncOnPolicyDistillWorkflow(OnPolicyDistillWorkflow): + """Alias for OnPolicyDistillWorkflow (already async).""" + + pass + + +@WORKFLOWS.register_module("on_policy_distill_math_workflow") +class OnPolicyDistillMathWorkflow(OnPolicyDistillWorkflow): + """On-policy distillation workflow with Qwen2.5-Math style format. + + This workflow: + - Uses Qwen2.5-Math style prompt format (same as math_eval_workflow) + - Computes accuracy using verify_math_answer as reward + - Suitable for math reasoning tasks like GSM8K, MATH, etc. + """ + + def format_messages(self): + """Format messages using Qwen2.5-Math style. + + System prompt: "You are a helpful assistant." + User prompt: "{question}\nPlease reason step by step, and put your final answer within \\boxed{}." + """ + system_prompt = "You are a helpful assistant." + user_prompt = f"{self.task_desc}\nPlease reason step by step, and put your final answer within \\boxed{{}}." + return [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ] + + def compute_reward(self, response: Experience) -> float: + """Compute accuracy as reward using Qwen2.5-Math evaluation. + + Returns 1.0 if answer is correct, 0.0 otherwise. + """ + if response.response_text and self.truth: + accuracy, _ = verify_math_answer( + response_text=response.response_text, ground_truth=self.truth + ) + # Store accuracy in metrics + if response.metrics is None: + response.metrics = {} + response.metrics["accuracy"] = accuracy + return float(accuracy) + return 0.0 + + +@WORKFLOWS.register_module("async_on_policy_distill_math_workflow") +class AsyncOnPolicyDistillMathWorkflow(OnPolicyDistillMathWorkflow): + """Alias for OnPolicyDistillMathWorkflow (already async).""" + pass From 16e6c75b305cfecf4b20db729561f49bea4c3998 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Thu, 18 Dec 2025 18:59:13 +0800 Subject: [PATCH 05/13] change model wrapper for workflows --- .../agentscope/react/react_workflow.py | 4 +- .../common/workflows/agentscope_workflow.py | 4 +- .../agentscope/agentscopev0_react_workflow.py | 4 +- .../agentscope/agentscopev1_react_workflow.py | 4 +- .../agentscopev1_search_workflow.py | 4 +- .../workflows/envs/email_searcher/workflow.py | 4 +- trinity/common/workflows/eval_workflow.py | 4 +- trinity/common/workflows/math_rm_workflow.py | 4 +- .../common/workflows/math_ruler_workflow.py | 4 +- .../math_trainable_ruler_workflow.py | 3 +- .../workflows/on_policy_distill_workflow.py | 10 +-- .../common/workflows/rubric_judge_workflow.py | 2 +- .../common/workflows/simple_mm_workflow.py | 4 +- trinity/common/workflows/workflow.py | 70 ++++++++----------- trinity/explorer/workflow_runner.py | 15 +--- 15 files changed, 48 insertions(+), 92 deletions(-) diff --git a/trinity/common/workflows/agentscope/react/react_workflow.py b/trinity/common/workflows/agentscope/react/react_workflow.py index f4c8c4375d..203af35623 100644 --- a/trinity/common/workflows/agentscope/react/react_workflow.py +++ b/trinity/common/workflows/agentscope/react/react_workflow.py @@ -5,8 +5,6 @@ from typing import Dict, List, Optional, Union -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.workflows.workflow import Task, Workflow @@ -22,7 +20,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/agentscope_workflow.py b/trinity/common/workflows/agentscope_workflow.py index 8fc28fbe32..0de1c41c2a 100644 --- a/trinity/common/workflows/agentscope_workflow.py +++ b/trinity/common/workflows/agentscope_workflow.py @@ -1,7 +1,5 @@ from typing import Awaitable, Callable, Dict, List, Optional -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.workflows.workflow import Task, Workflow @@ -17,7 +15,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): """Initialize the adapter with the task and model.""" try: diff --git a/trinity/common/workflows/envs/agentscope/agentscopev0_react_workflow.py b/trinity/common/workflows/envs/agentscope/agentscopev0_react_workflow.py index fab5403dcd..6b55bd588d 100644 --- a/trinity/common/workflows/envs/agentscope/agentscopev0_react_workflow.py +++ b/trinity/common/workflows/envs/agentscope/agentscopev0_react_workflow.py @@ -3,8 +3,6 @@ from typing import List, Optional -import openai - from trinity.common.models.model import ModelWrapper from trinity.common.rewards.math_reward import MathBoxedRewardFn from trinity.common.workflows.workflow import Task, Workflow @@ -25,7 +23,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/envs/agentscope/agentscopev1_react_workflow.py b/trinity/common/workflows/envs/agentscope/agentscopev1_react_workflow.py index c8cc0dc155..90ca068e60 100644 --- a/trinity/common/workflows/envs/agentscope/agentscopev1_react_workflow.py +++ b/trinity/common/workflows/envs/agentscope/agentscopev1_react_workflow.py @@ -3,8 +3,6 @@ from typing import List, Optional -import openai - from trinity.common.models.model import ModelWrapper from trinity.common.rewards.math_reward import MathBoxedRewardFn from trinity.common.workflows.workflow import Task, Workflow @@ -24,7 +22,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/envs/agentscope/agentscopev1_search_workflow.py b/trinity/common/workflows/envs/agentscope/agentscopev1_search_workflow.py index 8d2231b0e7..c24e30d0ce 100644 --- a/trinity/common/workflows/envs/agentscope/agentscopev1_search_workflow.py +++ b/trinity/common/workflows/envs/agentscope/agentscopev1_search_workflow.py @@ -5,8 +5,6 @@ import re from typing import List, Optional -import openai - from trinity.common.models.model import ModelWrapper from trinity.common.workflows.workflow import Task, Workflow @@ -24,7 +22,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): # get openai client from model super().__init__( task=task, diff --git a/trinity/common/workflows/envs/email_searcher/workflow.py b/trinity/common/workflows/envs/email_searcher/workflow.py index 0a243ef507..a644e32a3c 100644 --- a/trinity/common/workflows/envs/email_searcher/workflow.py +++ b/trinity/common/workflows/envs/email_searcher/workflow.py @@ -2,8 +2,6 @@ from typing import Dict, List, Optional -import openai - from trinity.common.models.model import ModelWrapper from trinity.common.workflows.envs.email_searcher.utils import ( AnswerModel, @@ -34,7 +32,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): # get openai client from model self.openai_client = model.get_openai_async_client() diff --git a/trinity/common/workflows/eval_workflow.py b/trinity/common/workflows/eval_workflow.py index 0fcb115b6f..a0e3e82d5c 100644 --- a/trinity/common/workflows/eval_workflow.py +++ b/trinity/common/workflows/eval_workflow.py @@ -4,8 +4,6 @@ from dataclasses import asdict from typing import List, Optional -import openai - from trinity.common.config import GenerationConfig from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper @@ -27,7 +25,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/math_rm_workflow.py b/trinity/common/workflows/math_rm_workflow.py index a5213e0034..13e2fd4cb2 100644 --- a/trinity/common/workflows/math_rm_workflow.py +++ b/trinity/common/workflows/math_rm_workflow.py @@ -3,8 +3,6 @@ from typing import List, Optional -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.workflows.workflow import SimpleWorkflow, Task @@ -18,7 +16,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.reset(task) super().__init__( diff --git a/trinity/common/workflows/math_ruler_workflow.py b/trinity/common/workflows/math_ruler_workflow.py index 42848dd0d7..11a7a3a8c6 100644 --- a/trinity/common/workflows/math_ruler_workflow.py +++ b/trinity/common/workflows/math_ruler_workflow.py @@ -3,8 +3,6 @@ import ast from typing import Any, List, Optional, Tuple -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.rewards.math_reward import MathRewardFn @@ -23,7 +21,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/math_trainable_ruler_workflow.py b/trinity/common/workflows/math_trainable_ruler_workflow.py index d43cbe4aed..5c01ec499b 100644 --- a/trinity/common/workflows/math_trainable_ruler_workflow.py +++ b/trinity/common/workflows/math_trainable_ruler_workflow.py @@ -5,7 +5,6 @@ from typing import Any, List, Optional, Tuple import numpy as np -import openai from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper @@ -27,7 +26,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/on_policy_distill_workflow.py b/trinity/common/workflows/on_policy_distill_workflow.py index bb1fa0b7af..1809b472c9 100644 --- a/trinity/common/workflows/on_policy_distill_workflow.py +++ b/trinity/common/workflows/on_policy_distill_workflow.py @@ -14,8 +14,6 @@ from dataclasses import asdict from typing import List, Optional -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.rewards.qwen25_eval import verify_math_answer @@ -43,21 +41,19 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, - auxiliary_model_wrappers: Optional[List[ModelWrapper]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, model=model, auxiliary_models=auxiliary_models, - auxiliary_model_wrappers=auxiliary_model_wrappers, ) self.reset(task) assert ( - auxiliary_model_wrappers is not None and len(auxiliary_model_wrappers) >= 1 + self.auxiliary_model_wrappers is not None and len(self.auxiliary_model_wrappers) >= 1 ), "On-policy distillation requires at least one auxiliary model as teacher." - self.teacher_model = auxiliary_model_wrappers[0] + self.teacher_model = self.auxiliary_model_wrappers[0] self.temperature = task.workflow_args.get("temperature", 1.0) diff --git a/trinity/common/workflows/rubric_judge_workflow.py b/trinity/common/workflows/rubric_judge_workflow.py index 2311803cac..455ac0603a 100644 --- a/trinity/common/workflows/rubric_judge_workflow.py +++ b/trinity/common/workflows/rubric_judge_workflow.py @@ -21,7 +21,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, diff --git a/trinity/common/workflows/simple_mm_workflow.py b/trinity/common/workflows/simple_mm_workflow.py index 97044e0cf1..2eca2274fb 100644 --- a/trinity/common/workflows/simple_mm_workflow.py +++ b/trinity/common/workflows/simple_mm_workflow.py @@ -1,7 +1,5 @@ from typing import List, Optional -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.rewards.reward_fn import RewardFn @@ -16,7 +14,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.reset(task) super().__init__( diff --git a/trinity/common/workflows/workflow.py b/trinity/common/workflows/workflow.py index f8e055bd16..67073565c4 100644 --- a/trinity/common/workflows/workflow.py +++ b/trinity/common/workflows/workflow.py @@ -3,20 +3,17 @@ from __future__ import annotations -import inspect from dataclasses import asdict, dataclass, field -from typing import TYPE_CHECKING, Any, List, Optional, Type, Union +from typing import List, Optional, Type, Union + +import openai from trinity.common.config import FormatConfig, GenerationConfig from trinity.common.experience import Experience +from trinity.common.models.model import ModelWrapper from trinity.common.rewards.reward_fn import RewardFn from trinity.utils.log import get_logger -if TYPE_CHECKING: - import openai - - from trinity.common.models.model import ModelWrapper - @dataclass class Task(dict): @@ -40,40 +37,25 @@ class Task(dict): def to_workflow( self, - model: Any, - auxiliary_models: Optional[List[openai.OpenAI]] = None, - auxiliary_model_wrappers: Optional[List["ModelWrapper"]] = None, + model: ModelWrapper, + auxiliary_models: Optional[List[ModelWrapper]] = None, ) -> Workflow: """Convert the task to a workflow. Args: model (ModelWrapper): The rollout model for the workflow. - auxiliary_models (List[openai.OpenAI]): The auxiliary models for the workflow (OpenAI clients). - auxiliary_model_wrappers (List[ModelWrapper]): The auxiliary model wrappers. - Only passed to workflows that explicitly declare this parameter in __init__. - - Note: - `model_path` attribute is added to the `auxiliary_models` for use within the workflow. + auxiliary_models (List[ModelWrapper]): The auxiliary model wrappers. + Workflows can access both the ModelWrapper and OpenAI client via + self.auxiliary_model_wrappers and self.auxiliary_models respectively. Returns: Workflow: The generated workflow object. """ - # Check if the workflow supports auxiliary_model_wrappers parameter - sig = inspect.signature(self.workflow.__init__) - if "auxiliary_model_wrappers" in sig.parameters: - return self.workflow( - model=model, - task=self, - auxiliary_models=auxiliary_models, - auxiliary_model_wrappers=auxiliary_model_wrappers, - ) - else: - # Backward compatibility: existing workflows don't need this parameter - return self.workflow( - model=model, - task=self, - auxiliary_models=auxiliary_models, - ) + return self.workflow( + model=model, + task=self, + auxiliary_models=auxiliary_models, + ) # Deprecated property, will be removed in the future @property @@ -95,6 +77,10 @@ class Workflow: """The base workflow class. A workflow is a runnable object which generates a list of experiences. + + Attributes: + auxiliary_model_wrappers: List of ModelWrapper instances for auxiliary models. + auxiliary_models: List of OpenAI clients (sync or async based on is_async) for auxiliary models. """ can_reset: bool = False # whether the workflow can be reset with a new task. If true, `reset()` must be implemented. @@ -106,13 +92,19 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, - auxiliary_model_wrappers: Optional[List[ModelWrapper]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.task = task self.model = model - self.auxiliary_models = auxiliary_models - self.auxiliary_model_wrappers = auxiliary_model_wrappers + # Store ModelWrapper instances + self.auxiliary_model_wrappers = auxiliary_models + # Get OpenAI clients from ModelWrapper (async or sync based on workflow type) + self.auxiliary_models: Optional[Union[List[openai.OpenAI], List[openai.AsyncOpenAI]]] = None + if auxiliary_models: + if self.__class__.is_async: + self.auxiliary_models = [m.get_openai_async_client() for m in auxiliary_models] + else: + self.auxiliary_models = [m.get_openai_client() for m in auxiliary_models] self.run_id_base = 0 self.logger = get_logger(__name__) @@ -170,7 +162,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__( task=task, @@ -222,7 +214,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.reset(task) super().__init__( @@ -334,7 +326,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.reset(task) super().__init__( diff --git a/trinity/explorer/workflow_runner.py b/trinity/explorer/workflow_runner.py index d29f1cde3f..9edba9014f 100644 --- a/trinity/explorer/workflow_runner.py +++ b/trinity/explorer/workflow_runner.py @@ -72,8 +72,6 @@ def __init__( ) for model in self.auxiliary_models ] - self.auxiliary_model_clients = [] - self.auxiliary_model_async_clients = [] self.workflow_instance: Workflow = None self.runner_id = runner_id self.runner_state = { @@ -89,11 +87,6 @@ async def prepare(self) -> None: self.model_wrapper.prepare(), *(aux_model.prepare() for aux_model in self.auxiliary_model_wrappers), ) - for model in self.auxiliary_model_wrappers: - api_client = model.get_openai_client() - async_api_client = model.get_openai_async_client() - self.auxiliary_model_clients.append(api_client) - self.auxiliary_model_async_clients.append(async_api_client) def is_alive(self): return True @@ -106,14 +99,10 @@ def _create_workflow_instance(self, task: Task) -> None: or not self.workflow_instance.__class__ == task.workflow or not self.workflow_instance.resettable ): + # Pass ModelWrapper directly; Workflow.__init__ will get OpenAI clients automatically self.workflow_instance = task.to_workflow( self.model_wrapper, - ( - self.auxiliary_model_async_clients - if task.workflow.is_async - else self.auxiliary_model_clients - ), - auxiliary_model_wrappers=self.auxiliary_model_wrappers, + self.auxiliary_model_wrappers, ) else: self.workflow_instance.reset(task) From 297fd8f9ee67182d04b3e4ac10a6a15c2094234d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Thu, 18 Dec 2025 19:07:59 +0800 Subject: [PATCH 06/13] make sure all workflow is changed --- examples/learn_to_ask/workflow/workflow_learn2ask.py | 4 +--- trinity/algorithm/__init__.py | 1 - trinity/algorithm/policy_loss_fn/__init__.py | 1 - 3 files changed, 1 insertion(+), 5 deletions(-) diff --git a/examples/learn_to_ask/workflow/workflow_learn2ask.py b/examples/learn_to_ask/workflow/workflow_learn2ask.py index 6e5cb6e0da..f8b4b49c43 100644 --- a/examples/learn_to_ask/workflow/workflow_learn2ask.py +++ b/examples/learn_to_ask/workflow/workflow_learn2ask.py @@ -7,8 +7,6 @@ import time from typing import List, Optional -import openai - from trinity.common.experience import Experience from trinity.common.models.model import ModelWrapper from trinity.common.workflows.workflow import SimpleWorkflow, Task @@ -36,7 +34,7 @@ def __init__( *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.train_mode = task.workflow_args.get("train_mode", "Ra+Rs") self.fusion_mode = task.workflow_args.get("fusion_mode", "default") diff --git a/trinity/algorithm/__init__.py b/trinity/algorithm/__init__.py index 5081263e38..979d08a779 100644 --- a/trinity/algorithm/__init__.py +++ b/trinity/algorithm/__init__.py @@ -27,7 +27,6 @@ "sppo": "trinity.algorithm.algorithm.sPPOAlgorithm", "rec": "trinity.algorithm.algorithm.RECAlgorithm", "multi_step_grpo": "trinity.algorithm.algorithm.MultiStepGRPOAlgorithm", - # On-policy distillation "on_policy_distill": "trinity.algorithm.algorithm.OnPolicyDistillAlgorithm", }, ) diff --git a/trinity/algorithm/policy_loss_fn/__init__.py b/trinity/algorithm/policy_loss_fn/__init__.py index a45e700903..6d1b0a2465 100644 --- a/trinity/algorithm/policy_loss_fn/__init__.py +++ b/trinity/algorithm/policy_loss_fn/__init__.py @@ -18,7 +18,6 @@ "sppo": "trinity.algorithm.policy_loss_fn.sppo_loss_fn.sPPOPolicyLossFn", "rec": "trinity.algorithm.policy_loss_fn.rec_policy_loss.RECPolicyLossFn", "sapo": "trinity.algorithm.policy_loss_fn.sapo_policy_loss.SAPOPolicyLossFn", - # On-policy distillation (importance sampling without clipping) "importance_sampling": "trinity.algorithm.policy_loss_fn.importance_sampling_policy_loss.ImportanceSamplingLossFn", }, ) From 549ab51ad3fc290cc062fe72d632054394a68c09 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Thu, 18 Dec 2025 19:13:44 +0800 Subject: [PATCH 07/13] change docs too --- benchmark/reports/gsm8k.md | 2 +- docs/sphinx_doc/source/tutorial/develop_workflow.md | 11 ++++++----- docs/sphinx_doc/source/tutorial/example_react.md | 2 +- .../sphinx_doc/source_zh/tutorial/develop_workflow.md | 11 ++++++----- docs/sphinx_doc/source_zh/tutorial/example_react.md | 2 +- 5 files changed, 15 insertions(+), 13 deletions(-) diff --git a/benchmark/reports/gsm8k.md b/benchmark/reports/gsm8k.md index 0c43309255..2234e22661 100644 --- a/benchmark/reports/gsm8k.md +++ b/benchmark/reports/gsm8k.md @@ -188,7 +188,7 @@ class VerlGSM8kWorkflow(Workflow): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.reset(task) super().__init__( diff --git a/docs/sphinx_doc/source/tutorial/develop_workflow.md b/docs/sphinx_doc/source/tutorial/develop_workflow.md index f8b4551edd..9d7dc20411 100644 --- a/docs/sphinx_doc/source/tutorial/develop_workflow.md +++ b/docs/sphinx_doc/source/tutorial/develop_workflow.md @@ -93,11 +93,12 @@ class Workflow(ABC): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): self.task = task self.model = model - self.auxiliary_models = auxiliary_models + self.auxiliary_model_wrappers = auxiliary_models + self.auxiliary_models = ... # OpenAI clients auto-derived from ModelWrapper @abstractmethod def run(self) -> List[Experience]: @@ -110,7 +111,7 @@ During initialization, `Workflow` receives the following parameters: - `task`({class}`trinity.common.workflows.Task`): A single data item from the task dataset. - `model`({class}`trinity.common.models.model.ModelWrapper`): The model being trained, which provides an interface similar to OpenAI, capable of receiving a list of conversation messages and returning content generated by the LLM (including reply text `response_text`, full sequence token ids `tokens`, prompt part token length `prompt_length`, and a list of output token logprobs `logprobs`). -- `auxiliary_models`(`List[openai.OpenAI]`):A list of auxiliary models not involved in training. All are provided via OpenAI-compatible APIs. +- `auxiliary_models`(`List[ModelWrapper]`): A list of auxiliary model wrappers. You can access OpenAI clients via `self.auxiliary_models` (auto-derived based on workflow's `is_async`). ```{tip} You can switch to using the OpenAI API by setting `explorer.rollout_model.enable_openai_api` to `true` in your config file and calling `model.get_openai_client()` to get an `openai.OpenAI` instance in your workflow. @@ -440,10 +441,10 @@ class MyWorkflow(Workflow): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__(task=task, model=model, auxiliary_models=auxiliary_models) - self.judge_model = self.auxiliary_models[0] # Use the first auxiliary model as the judge + self.judge_model = self.auxiliary_models[0] # OpenAI client auto-derived from ModelWrapper def run(self) -> List[Experience]: response = self.do_something() diff --git a/docs/sphinx_doc/source/tutorial/example_react.md b/docs/sphinx_doc/source/tutorial/example_react.md index 4264696ab9..eeaad84a04 100644 --- a/docs/sphinx_doc/source/tutorial/example_react.md +++ b/docs/sphinx_doc/source/tutorial/example_react.md @@ -82,7 +82,7 @@ class AgentScopeReActWorkflow(Workflow): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): # initialize the agent self.agent = AgentScopeReActAgent( diff --git a/docs/sphinx_doc/source_zh/tutorial/develop_workflow.md b/docs/sphinx_doc/source_zh/tutorial/develop_workflow.md index a3bb025cfc..3e8cbd3133 100644 --- a/docs/sphinx_doc/source_zh/tutorial/develop_workflow.md +++ b/docs/sphinx_doc/source_zh/tutorial/develop_workflow.md @@ -92,11 +92,12 @@ class Workflow(ABC): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, # 主要用于 LLM-as-a-judge 场景，这里可以忽略 + auxiliary_models: Optional[List[ModelWrapper]] = None, # 主要用于 LLM-as-a-judge 场景, 也可以用作distillation的techer ): self.task = task self.model = model - self.auxiliary_models = auxiliary_models + self.auxiliary_model_wrappers = auxiliary_models + self.auxiliary_models = ... # 从 ModelWrapper 自动派生的 OpenAI client @abstractmethod def run(self) -> List[Experience]: @@ -109,7 +110,7 @@ class Workflow(ABC): - `task`({class}`trinity.common.workflows.Task`)：数据集中的单个任务。 - `model`({class}`trinity.common.models.model.ModelWrapper`)：正在训练的模型，提供类似于 OpenAI 的接口，能够接收对话消息列表并返回 LLM 生成的内容（包括回复文本 `response_text`、完整序列 token id `tokens`、prompt 部分 token 长度 `prompt_length`，以及输出 token 对数概率列表 `logprobs`）。 -- `auxiliary_models`(`List[openai.OpenAI]`)：未参与训练的辅助模型列表。所有模型均通过兼容 OpenAI 的 API 提供，主要用于 LLM-as-a-judge 场景。 +- `auxiliary_models`(`List[ModelWrapper]`)：辅助模型的 ModelWrapper 列表。可通过 `self.auxiliary_models` 访问 OpenAI client（根据 workflow 的 `is_async` 自动派生）。 以下是一个仅使用 `raw_task` 和 `rollout_args` 初始化简单工作流的示例。在更复杂的情况下，你可以使用 `format_args` 进行进一步自定义。 @@ -437,10 +438,10 @@ class MyWorkflow(Workflow): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): super().__init__(task=task, model=model, auxiliary_models=auxiliary_models) - self.judge_model = self.auxiliary_models[0] # 使用第一个辅助模型作为评判者 + self.judge_model = self.auxiliary_models[0] # 从 ModelWrapper 自动派生的 OpenAI client def run(self) -> List[Experience]: response = self.do_something() diff --git a/docs/sphinx_doc/source_zh/tutorial/example_react.md b/docs/sphinx_doc/source_zh/tutorial/example_react.md index ab6b6a1d73..ec71d455e2 100644 --- a/docs/sphinx_doc/source_zh/tutorial/example_react.md +++ b/docs/sphinx_doc/source_zh/tutorial/example_react.md @@ -88,7 +88,7 @@ class AgentScopeReActWorkflow(Workflow): *, task: Task, model: ModelWrapper, - auxiliary_models: Optional[List[openai.OpenAI]] = None, + auxiliary_models: Optional[List[ModelWrapper]] = None, ): # initialize the agent self.agent = AgentScopeReActAgent( From 6444059e62601cbcf4e01234a54e9ce89e941a4a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Thu, 18 Dec 2025 21:42:50 +0800 Subject: [PATCH 08/13] fix workflow test --- tests/explorer/workflow_test.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/tests/explorer/workflow_test.py b/tests/explorer/workflow_test.py index 16bb0b7bbb..71a87dea96 100644 --- a/tests/explorer/workflow_test.py +++ b/tests/explorer/workflow_test.py @@ -48,9 +48,10 @@ def __init__(self, model, task: Task, auxiliary_models=None): self.obj = task.raw_task self.output_format = task.workflow_args["output_format"] self.repeat_times = task.rollout_args.n - if auxiliary_models is not None: - for model in auxiliary_models: - assert isinstance(model, openai.OpenAI) + # Check self.auxiliary_models (OpenAI clients derived from ModelWrapper) + if self.auxiliary_models is not None: + for m in self.auxiliary_models: + assert isinstance(m, openai.OpenAI) def reset(self, task: Task): self.obj = task.raw_task @@ -92,9 +93,10 @@ def __init__(self, model, task: Task, auxiliary_models=None): self.obj = task.raw_task self.output_format = task.workflow_args["output_format"] self.repeat_times = task.rollout_args.n - if auxiliary_models is not None: - for model in auxiliary_models: - assert isinstance(model, openai.AsyncOpenAI) + # Check self.auxiliary_models (AsyncOpenAI clients derived from ModelWrapper) + if self.auxiliary_models is not None: + for m in self.auxiliary_models: + assert isinstance(m, openai.AsyncOpenAI) def reset(self, task: Task): self.obj = task.raw_task From fea166672fcf44b18e511e3eefbedf3ffaf6ed53 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Fri, 19 Dec 2025 13:39:18 +0800 Subject: [PATCH 09/13] fix docs and comments --- examples/opd_gsm8k/README.md | 2 +- trinity/algorithm/advantage_fn/__init__.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/examples/opd_gsm8k/README.md b/examples/opd_gsm8k/README.md index 980d21502c..eb0f9d6dad 100644 --- a/examples/opd_gsm8k/README.md +++ b/examples/opd_gsm8k/README.md @@ -22,7 +22,7 @@ Download the model checkpoint and modify your config file, then run: trinity run examples/opd_gsm8k/opd_gsm8k.yaml ``` -Then you are all set! It should be pretty simple😄, and the training should converge very quick(Much quicker then RL). +Then you are all set! It should be pretty simple😄, and the training should converge very quick. diff --git a/trinity/algorithm/advantage_fn/__init__.py b/trinity/algorithm/advantage_fn/__init__.py index 17150b458c..3b4dfe887e 100644 --- a/trinity/algorithm/advantage_fn/__init__.py +++ b/trinity/algorithm/advantage_fn/__init__.py @@ -17,7 +17,6 @@ "asymre": "trinity.algorithm.advantage_fn.asymre_advantage.ASYMREGroupAdvantage", "asymre_verl": "trinity.algorithm.advantage_fn.asymre_advantage.ASYMREAdvantageFn", "rec": "trinity.algorithm.advantage_fn.rec_advantage.RECGroupedAdvantage", - # On-policy distillation "on_policy_distill": "trinity.algorithm.advantage_fn.on_policy_distill_advantage.OnPolicyDistillAdvantage", }, ) From 4da21a5da7a4a00cd078ca1ca2cd54399e3f4ee4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Fri, 19 Dec 2025 13:58:27 +0800 Subject: [PATCH 10/13] adjust based on comments --- trinity/common/workflows/__init__.py | 2 -- .../common/workflows/on_policy_distill_workflow.py | 12 ------------ trinity/common/workflows/workflow.py | 8 ++++---- 3 files changed, 4 insertions(+), 18 deletions(-) diff --git a/trinity/common/workflows/__init__.py b/trinity/common/workflows/__init__.py index 05b01eddbf..b8496f8f41 100644 --- a/trinity/common/workflows/__init__.py +++ b/trinity/common/workflows/__init__.py @@ -46,9 +46,7 @@ "async_simple_mm_workflow": "trinity.common.workflows.simple_mm_workflow.AsyncSimpleMMWorkflow", # on-policy distillation workflows "on_policy_distill_workflow": "trinity.common.workflows.on_policy_distill_workflow.OnPolicyDistillWorkflow", - "async_on_policy_distill_workflow": "trinity.common.workflows.on_policy_distill_workflow.AsyncOnPolicyDistillWorkflow", "on_policy_distill_math_workflow": "trinity.common.workflows.on_policy_distill_workflow.OnPolicyDistillMathWorkflow", - "async_on_policy_distill_math_workflow": "trinity.common.workflows.on_policy_distill_workflow.AsyncOnPolicyDistillMathWorkflow", }, ) diff --git a/trinity/common/workflows/on_policy_distill_workflow.py b/trinity/common/workflows/on_policy_distill_workflow.py index 1809b472c9..e925103374 100644 --- a/trinity/common/workflows/on_policy_distill_workflow.py +++ b/trinity/common/workflows/on_policy_distill_workflow.py @@ -144,12 +144,6 @@ async def run_async(self) -> List[Experience]: return responses -class AsyncOnPolicyDistillWorkflow(OnPolicyDistillWorkflow): - """Alias for OnPolicyDistillWorkflow (already async).""" - - pass - - class OnPolicyDistillMathWorkflow(OnPolicyDistillWorkflow): """On-policy distillation workflow with Qwen2.5-Math style format. @@ -187,9 +181,3 @@ def compute_reward(self, response: Experience) -> float: response.metrics["accuracy"] = accuracy return float(accuracy) return 0.0 - - -class AsyncOnPolicyDistillMathWorkflow(OnPolicyDistillMathWorkflow): - """Alias for OnPolicyDistillMathWorkflow (already async).""" - - pass diff --git a/trinity/common/workflows/workflow.py b/trinity/common/workflows/workflow.py index 67073565c4..6a3ad80733 100644 --- a/trinity/common/workflows/workflow.py +++ b/trinity/common/workflows/workflow.py @@ -4,16 +4,16 @@ from __future__ import annotations from dataclasses import asdict, dataclass, field -from typing import List, Optional, Type, Union - -import openai +from typing import TYPE_CHECKING, Any, List, Optional, Type, Union from trinity.common.config import FormatConfig, GenerationConfig from trinity.common.experience import Experience -from trinity.common.models.model import ModelWrapper from trinity.common.rewards.reward_fn import RewardFn from trinity.utils.log import get_logger +if TYPE_CHECKING: + import openai + from trinity.common.models.model import ModelWrapper @dataclass class Task(dict): From da286013029cd5a3e6491423cae66add7a42c8a6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Fri, 19 Dec 2025 14:01:27 +0800 Subject: [PATCH 11/13] fix precommit --- trinity/common/workflows/workflow.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/trinity/common/workflows/workflow.py b/trinity/common/workflows/workflow.py index 6a3ad80733..cf3b4d449b 100644 --- a/trinity/common/workflows/workflow.py +++ b/trinity/common/workflows/workflow.py @@ -4,7 +4,7 @@ from __future__ import annotations from dataclasses import asdict, dataclass, field -from typing import TYPE_CHECKING, Any, List, Optional, Type, Union +from typing import TYPE_CHECKING, List, Optional, Type, Union from trinity.common.config import FormatConfig, GenerationConfig from trinity.common.experience import Experience @@ -13,8 +13,10 @@ if TYPE_CHECKING: import openai + from trinity.common.models.model import ModelWrapper + @dataclass class Task(dict): """A Task class that defines a task and its associated reward function / workflow.""" From 8aa7a51eca66aec627fd056d1abb5e715582f881 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Fri, 19 Dec 2025 14:30:52 +0800 Subject: [PATCH 12/13] add readme and odcs --- README.md | 3 ++- README_zh.md | 1 + docs/sphinx_doc/source/main.md | 2 ++ docs/sphinx_doc/source_zh/main.md | 1 + 4 files changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2b8449df1e..9f1cc7a985 100644 --- a/README.md +++ b/README.md @@ -130,6 +130,7 @@ We list some algorithms supported by Trinity-RFT in the following table. For mor | AsymRE [[Paper](https://arxiv.org/pdf/2506.20520)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[Paper](https://arxiv.org/pdf/2506.13585)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[Paper](https://arxiv.org/pdf/2511.20347)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | +| On-Policy Distillation [[Blog](https://qwenlm.github.io/blog/tinker/)] [[Paper](https://arxiv.org/pdf/2402.10038)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | @@ -142,7 +143,7 @@ We list some algorithms supported by Trinity-RFT in the following table. For mor - [Step 2: prepare dataset and model](#step-2-prepare-dataset-and-model) - [Step 3: configurations](#step-3-configurations) - [Step 4: run the RFT process](#step-4-run-the-rft-process) -- [Contribution guide](#contribution-guide) +- [Contribution Guide](#contribution-guide) - [Acknowledgements](#acknowledgements) - [Citation](#citation) diff --git a/README_zh.md b/README_zh.md index 63839442e1..5e64a5c86e 100644 --- a/README_zh.md +++ b/README_zh.md @@ -129,6 +129,7 @@ Trinity-RFT 面向不同背景和目标的用户提供相应功能： | AsymRE [[论文](https://arxiv.org/pdf/2506.20520)] | [[GSM8K 例子](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[论文](https://arxiv.org/pdf/2506.13585)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[论文](https://arxiv.org/pdf/2511.20347)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | +| On-Policy Distillation [[博客](https://qwenlm.github.io/blog/tinker/)] [[论文](https://arxiv.org/pdf/2402.10038)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | diff --git a/docs/sphinx_doc/source/main.md b/docs/sphinx_doc/source/main.md index 919eca2908..a41206b46b 100644 --- a/docs/sphinx_doc/source/main.md +++ b/docs/sphinx_doc/source/main.md @@ -86,6 +86,8 @@ We list some algorithms supported by Trinity-RFT in the following table. For mor | AsymRE [[Paper](https://arxiv.org/pdf/2506.20520)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[Paper](https://arxiv.org/pdf/2506.13585)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[Paper](https://arxiv.org/pdf/2511.20347)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | +| On-Policy Distillation [[Blog](https://qwenlm.github.io/blog/tinker/)] [[Paper](https://arxiv.org/pdf/2402.10038)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | + diff --git a/docs/sphinx_doc/source_zh/main.md b/docs/sphinx_doc/source_zh/main.md index 3d1c673e25..395acc95cf 100644 --- a/docs/sphinx_doc/source_zh/main.md +++ b/docs/sphinx_doc/source_zh/main.md @@ -82,6 +82,7 @@ Trinity-RFT 面向不同背景和目标的用户提供相应功能： | AsymRE [[论文](https://arxiv.org/pdf/2506.20520)] | [[GSM8K 例子](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[论文](https://arxiv.org/pdf/2506.13585)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[论文](https://arxiv.org/pdf/2511.20347)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | +| On-Policy Distillation [[博客](https://qwenlm.github.io/blog/tinker/)] [[论文](https://arxiv.org/pdf/2402.10038)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | From 23ca0eefe75ad2f128e551e756af8003fe3d1d6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=97=AE=E6=98=8A?= Date: Fri, 19 Dec 2025 14:38:11 +0800 Subject: [PATCH 13/13] add readme and docs --- README.md | 2 +- README_zh.md | 2 +- docs/sphinx_doc/source/main.md | 2 +- docs/sphinx_doc/source_zh/main.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 9f1cc7a985..58526defa1 100644 --- a/README.md +++ b/README.md @@ -130,7 +130,7 @@ We list some algorithms supported by Trinity-RFT in the following table. For mor | AsymRE [[Paper](https://arxiv.org/pdf/2506.20520)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[Paper](https://arxiv.org/pdf/2506.13585)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[Paper](https://arxiv.org/pdf/2511.20347)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | -| On-Policy Distillation [[Blog](https://qwenlm.github.io/blog/tinker/)] [[Paper](https://arxiv.org/pdf/2402.10038)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | +| On-Policy Distillation [[Blog](https://thinkingmachines.ai/blog/on-policy-distillation/)] [[Paper](https://arxiv.org/pdf/2306.13649)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | diff --git a/README_zh.md b/README_zh.md index 5e64a5c86e..fd90f4af51 100644 --- a/README_zh.md +++ b/README_zh.md @@ -129,7 +129,7 @@ Trinity-RFT 面向不同背景和目标的用户提供相应功能： | AsymRE [[论文](https://arxiv.org/pdf/2506.20520)] | [[GSM8K 例子](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[论文](https://arxiv.org/pdf/2506.13585)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[论文](https://arxiv.org/pdf/2511.20347)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | -| On-Policy Distillation [[博客](https://qwenlm.github.io/blog/tinker/)] [[论文](https://arxiv.org/pdf/2402.10038)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | +| On-Policy Distillation [[博客](https://thinkingmachines.ai/blog/on-policy-distillation/)] [[论文](https://arxiv.org/pdf/2306.13649)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | diff --git a/docs/sphinx_doc/source/main.md b/docs/sphinx_doc/source/main.md index a41206b46b..97a0f276d2 100644 --- a/docs/sphinx_doc/source/main.md +++ b/docs/sphinx_doc/source/main.md @@ -86,7 +86,7 @@ We list some algorithms supported by Trinity-RFT in the following table. For mor | AsymRE [[Paper](https://arxiv.org/pdf/2506.20520)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[Paper](https://arxiv.org/pdf/2506.13585)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[Paper](https://arxiv.org/pdf/2511.20347)] | - | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | -| On-Policy Distillation [[Blog](https://qwenlm.github.io/blog/tinker/)] [[Paper](https://arxiv.org/pdf/2402.10038)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | +| On-Policy Distillation [[Blog](https://thinkingmachines.ai/blog/on-policy-distillation/)] [[Paper](https://arxiv.org/pdf/2306.13649)] | [[GSM8K Example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[Code](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | diff --git a/docs/sphinx_doc/source_zh/main.md b/docs/sphinx_doc/source_zh/main.md index 395acc95cf..9e490f846b 100644 --- a/docs/sphinx_doc/source_zh/main.md +++ b/docs/sphinx_doc/source_zh/main.md @@ -82,7 +82,7 @@ Trinity-RFT 面向不同背景和目标的用户提供相应功能： | AsymRE [[论文](https://arxiv.org/pdf/2506.20520)] | [[GSM8K 例子](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/advantage_fn/asymre_advantage.py)] | `algorithm_type: asymre` | | CISPO [[论文](https://arxiv.org/pdf/2506.13585)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/cispo_policy_loss.py)] | `algorithm_type: cispo` | | SAPO [[论文](https://arxiv.org/pdf/2511.20347)] | - | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/algorithm/policy_loss_fn/sapo_policy_loss.py)] | `algorithm_type: sapo` | -| On-Policy Distillation [[博客](https://qwenlm.github.io/blog/tinker/)] [[论文](https://arxiv.org/pdf/2402.10038)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` | +| On-Policy Distillation [[博客](https://thinkingmachines.ai/blog/on-policy-distillation/)] [[论文](https://arxiv.org/pdf/2306.13649)] | [[GSM8K 示例](https://github.com/modelscope/Trinity-RFT/tree/main/examples/on_policy_distill)] | [[代码](https://github.com/modelscope/Trinity-RFT/tree/main/trinity/common/workflows/on_policy_distill_workflow.py)] | `algorithm_type: on_policy_distill` |