Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 - pretrained
 ---
 
-# Qwen2-beta
+# Qwen2-beta-14B
 
 
 ## Introduction
@@ -34,31 +34,9 @@ The code of Qwen2 has been in the latest Hugging face transformers and we advise
 <br>
 
 
-## Quickstart
+## Usage
 
-Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-device = "cuda" # the device to load the model onto
-
-model = AutoModelForCausalLM.from_pretrained("Qwen2/Qwen2-beta-7B-Chat", device_map="auto")
-tokenizer = AutoTokenizer.from_pretrained("Qwen2/Qwen2-beta-7B-Chat")
-
-prompt = "Give me a short introduction to large language model."
-
-messages = [{"role": "user", "content": prompt}]
-
-text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-
-model_inputs = tokenizer([text], return_tensors="pt").to(device)
-
-generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=512, do_sample=True)
-
-generated_ids = [output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)]
-
-response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
-```
+We do not advise you to use base language models for text generation. Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., on this model.
 
 
 ## Citation