Skip to content

[merger] fix: avoid setting torch's global device to meta #1564

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
vermouth1992 merged 1 commit into from
May 18, 2025
Merged

[merger] fix: avoid setting torch's global device to meta #1564

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion scripts/model_merger.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@

import numpy as np
import torch
from accelerate import init_empty_weights
from safetensors.torch import load_file
from torch.distributed._tensor import Placement, Shard
from transformers import (
Expand Down Expand Up @@ -128,7 +129,7 @@ def patch_model_generation_config(self, model):

def save_hf_model_and_tokenizer(self, state_dict: dict[str, torch.Tensor]):
auto_model_class = self.get_transformers_auto_model_class()
with torch.device("meta"):
with init_empty_weights():
model = auto_model_class.from_config(self.model_config, torch_dtype=torch.bfloat16)
model.to_empty(device="cpu")
model = self.patch_model_generation_config(model)
Expand Down
Loading