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Release v0.12.0 #1946

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Jul 24, 2024
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2 changes: 1 addition & 1 deletion docs/source/developer_guides/troubleshooting.md
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Expand Up @@ -71,7 +71,7 @@ trainer.train()

<Tip>

Starting from PEFT verion v0.11.0, PEFT automatically promotes the dtype of adapter weights from `torch.float16` and `torch.bfloat16` to `torch.float32` where appropriate. To _prevent_ this behavior, you can pass `autocast_adapter_dtype=False` to [`~get_peft_model`], to [`~PeftModel.from_pretrained`], and to [`~PeftModel.load_adapter`].
Starting from PEFT verion v0.12.0, PEFT automatically promotes the dtype of adapter weights from `torch.float16` and `torch.bfloat16` to `torch.float32` where appropriate. To _prevent_ this behavior, you can pass `autocast_adapter_dtype=False` to [`~get_peft_model`], to [`~PeftModel.from_pretrained`], and to [`~PeftModel.load_adapter`].

</Tip>

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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -15,7 +15,7 @@
from setuptools import find_packages, setup


VERSION = "0.11.2.dev0"
VERSION = "0.12.0"
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Yes, we can take a look into this at some point.


extras = {}
extras["quality"] = [
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2 changes: 1 addition & 1 deletion src/peft/__init__.py
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Expand Up @@ -17,7 +17,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.

__version__ = "0.11.2.dev0"
__version__ = "0.12.0"

from .auto import (
AutoPeftModel,
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