Update README.md

README.md

@@ -12,7 +12,7 @@ tags: []
 **Llama-3-SURPASSONE-JP-8B** is a large language model trained by [SURPASSONE, Inc](https://surpassone.com/). 
 Based on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct), this model has undergone additional post-training of Japanese to expand instruction-following capabilities in Japanese.
 
-This model is specialized in generating MCQ questions with options, correct answers and corresponding explanations on “Nursing Care” if given a specific topic. Also, it can generate answers based on questions on “Nursing Care”.
+This model is specialized in generating MCQ questions with options, correct answers and corresponding explanations on “Nursing Care” if given a specific topic. 
 
 For more details, please refer to [our blog post](https://docs.google.com/document/d/1ENAEzgV3n-sFiSoV3oQBTgzjeyTfmL64zEczepTKEW0/edit?usp=sharing).
 
@@ -71,31 +71,6 @@ inputs = tokenizer(
    )
 ], return_tensors = "pt").to("cuda")
 
-from transformers import TextStreamer
-text_streamer = TextStreamer(tokenizer)
-_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 1028)
-
-#for QA  generation
-
-# Define the formatting function and the prompt template
-alpaca_prompt = """以下は質問です。質問に適切に答える回答を書いてください。
-
-### 質問：
-{}
-
-### 答え：
-{}"""
-
-eos_token_id = tokenizer.eos_token_id
-
-inputs = tokenizer(
-    [alpaca_prompt.format(
-        "介護福祉士はどのような責任を負うべきですか？",  # Question
-        ""  # Answer - leave this blank for generation!
-    )],
-    return_tensors="pt"
-).to("cuda")
-
 from transformers import TextStreamer
 text_streamer = TextStreamer(tokenizer)
 _ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 1028)