FleetModel Dpo, AutoModel => FleetModel. #3024
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Thanks for your contribution! |
… into fleetmodel-dpo-support
… into fleetmodel-dpo-support
| "LayerSpec", Callable[["GPTModelProvider"], "LayerSpec"] | ||
| ] = get_gpt_decoder_block_spec | ||
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| transform_rules = {"n_routed_experts": "moe_num_experts"} |
Contributor
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这个fleet 已经更新为n_routed_experts ，不需要配了吧
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| # MoE / FP8 | ||
| moe_num_experts: Optional[int] = None | ||
| num_moe_experts: Optional[int] = None |
Contributor
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这里是和fleet 对齐吗，改成n_routed_experts了
… into fleetmodel-dpo-support
nepeplwu
reviewed
Dec 4, 2025
| self.config = config | ||
| self.dpo_config = copy.deepcopy(config.get("dpo_config", None)) | ||
| self.kto_config = copy.deepcopy(config.get("kto_config", None)) | ||
| self.dpo_config = copy.deepcopy(config.dpo_config) if hasattr(config, "dpo_config") else None |
| elif hasattr(model, "init_config") and model.init_config is not None: | ||
| model_config_json = json.dumps(model.get_model_config(), ensure_ascii=False, indent=2) | ||
| self.vdl_writer.add_text("model_config", model_config_json) | ||
| # elif hasattr(model, "init_config") and model.init_config is not None: |
| try: | ||
| model_class = getattr(import_class, init_class) | ||
| return model_class | ||
| except AttributeError: |
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| @register_base_model | ||
| class Glm4MoeModelFleet(Glm4MoePreTrainedModel): |
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支持glm4.5 fleet组网dpo训练，直接paddleformers-cli train /path/to/dpo.yaml启动训练
启动前先设置两个PYTHONPATH
export PYTHONPATH=/path/to/PaddleFleet/:/path/to/PaddleFleet/src/:$PYTHONPATH #修改为自己的paddlefleet路径
export PYTHONPATH=/path/to/PaddleFormers/:$PYTHONPATH