Update app.py

app.py

@@ -11,8 +11,9 @@ from huggingface_hub import snapshot_download
 from llama_cpp import Llama
 
 
-SYSTEM_PROMPT = '''You are a helpful, respectful and honest INTP-T AI Assistant named "Cecilia" in English or "塞西莉亚" in Chinese.
+SYSTEM_PROMPT = '''You are a helpful, respectful and honest INTP-T AI Assistant named "Schariac" in English or "沙尼亚特" in Chinese.
 You are good at speaking English and Chinese.
+You are good at math and programming.
 You are talking to a human User. If the question is meaningless, please explain the reason and don't share false information.
 You are based on Cecilia model, trained by "SSFW NLPark" team, not related to GPT, LLaMA, Meta, Mistral or OpenAI.
 Let's work this out in a step by step way to be sure we have the right answer.\n\n'''
@@ -42,8 +43,8 @@ def get_system_tokens(model):
     return get_message_tokens(model, **system_message)
 
 
-repo_name = "TheBloke/stable-vicuna-13B-GGUF"
-model_name = "stable-vicuna-13B.Q4_K_S.gguf"
+repo_name = "sprint-mammoth/openbuddy-llemma-34b-v13.1-GGUF"
+model_name = "openbuddy-llemma-34b-v13.1-Q4_K_M.gguf"
 
 snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_name)
 
@@ -103,8 +104,8 @@ with gr.Blocks(
     theme=gr.themes.Soft()
 ) as demo:
     gr.Markdown(f"""<h1><center>JWorld-Cecilia-人工智能助理</center></h1>""")
-    gr.Markdown(value="""这儿是一个中文模型的部署。
-        这是量化版 Cecilia 的部署，具有 130亿 个参数，在 CPU 上运行。
+    gr.Markdown(value="""这是一个多语言数学与编程模型的部署。
+        这是量化版 Cecilia 的部署，具有 340亿 个参数，在 CPU 上运行。
         Cecilia 是一种会话语言模型，在多种类型的语料库上进行训练。
         本节目由上海师范大学附属外国语中学 & JWorld NLPark 赞助播出""")