update adapter model

README.md

@@ -6,7 +6,7 @@ colorTo: purple
 python_version: 3.11
 models:
 - llm-jp/llm-jp-3-1.8b-instruct
-- vericava/llm-jp-3-1.8b-instruct-lora-vericava16
+- vericava/llm-jp-3-1.8b-instruct-lora-vericava17
 sdk: gradio
 sdk_version: 5.23.1
 app_file: app.py

app.py

@@ -21,7 +21,7 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "32768"))
 
 
 if torch.cuda.is_available():
-    model_id = "vericava/llm-jp-3-1.8b-instruct-lora-vericava16"
+    model_id = "vericava/llm-jp-3-1.8b-instruct-lora-vericava17"
     base_model_id = "llm-jp/llm-jp-3-1.8b-instruct"
     tokenizer = AutoTokenizer.from_pretrained(base_model_id, trust_remote_code=True)
     tokenizer.chat_template = "{{bos_token}}{% for message in messages %}{% if message['role'] == 'user' %}{{ '\\n\\n### 前の投稿:\\n' + message['content'] + '' }}{% elif message['role'] == 'system' %}{{ '以下は、SNS上の投稿です。あなたはSNSの投稿生成botとして、次に続く投稿を考えなさい。説明はせず、投稿の内容のみを鉤括弧をつけずに答えよ。' }}{% elif message['role'] == 'assistant' %}{{ '\\n\\n### 次の投稿:\\n' + message['content'] + eos_token }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '\\n\\n### 次の投稿:\\n' }}{% endif %}{% endfor %}"