Update modeling_quasar.py

modeling_quasar.py

@@ -55,11 +55,11 @@ except:
 
 logger = logging.get_logger(__name__)
 
-_CHECKPOINT_FOR_DOC = "AstraMindAI/AstraQuasar-4.5B"
+_CHECKPOINT_FOR_DOC = "AstraMindAI/AstraQuasar-4B"
 _CONFIG_FOR_DOC = "QuasarConfig"
 
 QUASAR_PRETRAINED_MODEL_ARCHIVE_LIST = [
-    "AstraMindAI/AstraQuasar-4.5B",
+    "AstraMindAI/AstraQuasar-4B",
 ]
 
 
@@ -1150,8 +1150,8 @@ class QuasarForCausalLM(QuasarPreTrainedModel):
         Example:
         ```python
         >>> from transformers import AutoTokenizer, AutoModelForCausalLM
-        >>> model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4.5B", trust_remote_code=True)
-        >>> tokenizer = AutoTokenizer.from_pretrained("AstraMindAI/AstraQuasar-4.5B")
+        >>> model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True)
+        >>> tokenizer = AutoTokenizer.from_pretrained("AstraMindAI/AstraQuasar-4B")
         >>> # you can optionally disable the duplicate trick
         >>> # model.model.duplicate_trick = False
         >>> # You can also disable the duplicate gradient calculation