67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
# Copyright 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import importlib
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from typing import List, Optional, Type
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import torch.nn as nn
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# Supported models using HF Rmpad
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# TODO(sgm): HF may supported more than listed here, we should add more after testing
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from transformers import LlamaConfig, MistralConfig, GemmaConfig, Qwen2Config
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_REOVEPAD_MODELS = {'llama': LlamaConfig, 'mistral': MistralConfig, 'gemma': GemmaConfig, 'qwen2': Qwen2Config}
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def check_model_support_rmpad(model_type: str):
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assert isinstance(model_type, str)
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if not model_type in _REOVEPAD_MODELS.keys():
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raise ValueError(f"Model architecture {model_type} is not supported for now. "
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f"RMPad supported architectures: {_REOVEPAD_MODELS.keys()}."
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f"Please set `use_remove_padding=False` in the model config.")
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# Supported models in Megatron-LM
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# Architecture -> (module, class).
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_MODELS = {
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"LlamaForCausalLM":
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("llama", ("ParallelLlamaForCausalLMRmPadPP", "ParallelLlamaForValueRmPadPP", "ParallelLlamaForCausalLMRmPad")),
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"MistralForCausalLM": ("mistral", ("ParallelMistralForCausalLMRmPadPP", "ParallelMistralForValueRmPadPP",
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"ParallelMistralForCausalLMRmPad"))
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}
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# return model class
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class ModelRegistry:
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@staticmethod
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def load_model_cls(model_arch: str, value=False) -> Optional[Type[nn.Module]]:
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if model_arch not in _MODELS:
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return None
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megatron = "megatron"
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module_name, model_cls_name = _MODELS[model_arch]
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if not value: # actor/ref
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model_cls_name = model_cls_name[0]
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elif value: # critic/rm
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model_cls_name = model_cls_name[1]
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module = importlib.import_module(f"verl.models.{module_name}.{megatron}.modeling_{module_name}_megatron")
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return getattr(module, model_cls_name, None)
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@staticmethod
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def get_supported_archs() -> List[str]:
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return list(_MODELS.keys())
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