Update README.md

README.md

@@ -91,7 +91,7 @@ If you want to use Hugging Face `transformers` to generate text, you can do some
 
 ```py
 from transformers import AutoModelForCausalLM, AutoTokenizer
-model_id = "EpistemeAI/Fireball-Mistral-Nemo-Base-2407-V2"
+model_id = "EpistemeAI/Fireball-12B"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id)
 inputs = tokenizer("Hello my name is", return_tensors="pt")
@@ -104,7 +104,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ## Note
 
-`Mistral-Nemo-Base-2407` is a pretrained base model and therefore does not have any moderation mechanisms.
+`EpistemeAI/Fireball-12B` is a pretrained base model and therefore does not have any moderation mechanisms.
 
 
 ### Citation for yahma/alpaca-cleaned dataset