Update app.py

app.py

@@ -5,8 +5,8 @@ import torch
 import re
 
 # Initialize the model
-model = AutoModelForCausalLM.from_pretrained("bmi-labmedinfo/Igea-1B-instruct-v0.1-GGUF", model_file="unsloth.Q4_K_M.gguf", model_type="mistral", hf=True)
-tokenizer = AutoTokenizer.from_pretrained( "bmi-labmedinfo/Igea-1B-instruct-v0.1")
+model = AutoModelForCausalLM.from_pretrained("Detsutut/Igea-1B-instruct-v0.2-GGUF", model_file="unsloth.Q4_K_M.gguf", model_type="mistral", hf=True)
+tokenizer = AutoTokenizer.from_pretrained( "Detsutut/Igea-1B-instruct-v0.2")
 
 
 gen_pipeline = pipeline(