Release v0.12.0 (#1946)

Also: Fix small error in doc: mentions wrong version

Author: BenjaminBossan

docs/source/developer_guides/troubleshooting.md

@@ -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>
 

setup.py

@@ -15,7 +15,7 @@
 from setuptools import find_packages, setup
 
 
-VERSION = "0.11.2.dev0"
+VERSION = "0.12.0"
 
 extras = {}
 extras["quality"] = [

src/peft/__init__.py

@@ -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,