Update app.py

app.py

@@ -3,14 +3,14 @@ import spaces
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model_path = 'LLM4Binary/llm4decompile-6.7b-v2' # V2 Model
+model_path = 'LLM4Binary/llm4decompile-9b-v2' # V2 Model
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16).cuda()
 
-description = """
-# LLM4Decompile 6.7B V2
+description = f"""
+# LLM4Decompile 9B V2
 
-This is a space for testing the [LLM4Decompile 6.7B V2 model](https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v2).  It expects to be given a decompiled function output by Ghidra.  I simply copy and paste from the Ghidra GUI, but this is not the method recommended by the official model page, which could influence performance.  I am not affiliated with the authors.
+This is a space for testing the [LLM4Decompile 9B V2 model](https://huggingface.co/LLM4Binary/llm4decompile-9b-v2).  It expects to be given a decompiled function output by Ghidra.  I simply copy and paste from the Ghidra GUI, but this is not the method recommended by the official model page, which could influence performance.  I am not affiliated with the authors.
 """
 
 @spaces.GPU(duration=120)