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Add support for vlm checkpoints conversion #1475

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7627680
Add VLM support to FSDP conversion
cklxx Jan 21, 2026
ace08d1
Merge branch 'main' into add-support-for-vlm-checkpoints-conversion
cklxx Jan 21, 2026
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15 changes: 13 additions & 2 deletions tools/convert_fsdp_to_hf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,11 @@

import torch
import torch.distributed.checkpoint as dist_cp
from transformers import AutoConfig, AutoModelForCausalLM
from transformers import (
AutoConfig,
AutoModelForCausalLM,
AutoModelForImageTextToText,
)
from typing_extensions import override


Expand Down Expand Up @@ -105,6 +109,13 @@ def _strip_best_prefix(keys: list[str], target_keys: set[str]) -> tuple[str, int
return best_prefix, best_match


def _build_hf_model(config: AutoConfig) -> torch.nn.Module:
print(f"Detected model type: {config.model_type}")
model_cls = AutoModelForImageTextToText if hasattr(config, "vision_config") else AutoModelForCausalLM
print(f"Loaded with {model_cls.__name__}")
return model_cls.from_config(config, trust_remote_code=True)


def _convert_fsdp_to_hf(
origin_hf_dir: str,
input_dir: str,
Expand All @@ -118,7 +129,7 @@ def _convert_fsdp_to_hf(
tensor_items = {k: v for k, v in state_dict.items() if isinstance(v, torch.Tensor)}

config = AutoConfig.from_pretrained(origin_hf_dir, trust_remote_code=True)
hf_model = AutoModelForCausalLM.from_config(config)
hf_model = _build_hf_model(config)
target_keys = set(hf_model.state_dict().keys())

best_prefix, best_match = _strip_best_prefix(list(tensor_items.keys()), target_keys)
Expand Down