Bump version to 2.2.0 (#502)

Author: borzunov

README.md

@@ -8,7 +8,7 @@
     <br>
 </p>
 
-Generate text with distributed **Llama 2 (70B)**, **Stable Beluga 2**, **Guanaco-65B** or **BLOOM-176B** and fine‑tune them for your own tasks &mdash; right from your desktop computer or Google Colab:
+Generate text with distributed **Llama 2 (70B)**, **Stable Beluga 2**, **Falcon**, **Guanaco-65B** or **BLOOM-176B** and fine‑tune them for your own tasks &mdash; right from your desktop computer or Google Colab:
 
 ```python
 from transformers import AutoTokenizer

src/petals/__init__.py

@@ -17,7 +17,7 @@
 from petals.utils import *
 from petals.utils.logging import initialize_logs as _initialize_logs
 
-__version__ = "2.1.0"
+__version__ = "2.2.0"
 
 
 if not os.getenv("PETALS_IGNORE_DEPENDENCY_VERSION"):

src/petals/models/falcon/config.py

@@ -31,6 +31,9 @@ def num_key_value_groups(self) -> int:
     def from_pretrained(
         cls, model_name_or_path: Union[str, os.PathLike, None], *args, dht_prefix: Optional[str] = None, **kwargs
     ):
+        if "180B" in model_name_or_path.upper():
+            logger.info("Make sure you follow the Falcon-180B license: https://bit.ly/falcon-180b-license")
+
         loading_from_repo = model_name_or_path is not None and not os.path.isdir(model_name_or_path)
         if loading_from_repo and dht_prefix is None:
             dht_prefix = str(model_name_or_path)