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RYS-Gemma-2-27b-it

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dnhkng commited on Aug 8

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@@ -13,7 +13,7 @@ A paper is currently being written on the technique.  Special thanks to my wife,
 # pip install accelerate
 from transformers import AutoTokenizer, AutoModelForCausalLM
-tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b-it")
 model = AutoModelForCausalLM.from_pretrained(
     "google/gemma-2-9b-it",
     device_map="auto",

 # pip install accelerate
 from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("dnhkng/RYS-Gemma-2-27b-it")
 model = AutoModelForCausalLM.from_pretrained(
     "google/gemma-2-9b-it",
     device_map="auto",