Update README.md

README.md

@@ -2,7 +2,7 @@
 license: other
 license_name: tongyi-qianwen-research
 license_link: >-
-  https://huggingface.co/Qwen/Qwen-1.5-0_5B-Chat/blob/main/LICENSE
+  https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat/blob/main/LICENSE
 language:
 - en
 pipeline_tag: text-generation
@@ -10,7 +10,7 @@ tags:
 - chat
 ---
 
-# Qwen-1.5-0.5B-Chat
+# Qwen1.5-0.5B-Chat
 
 
 ## Introduction
@@ -47,10 +47,10 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "cuda" # the device to load the model onto
 
 model = AutoModelForCausalLM.from_pretrained(
-    "Qwen/Qwen-1.5-0_5B-Chat",
+    "Qwen/Qwen1.5-0.5B-Chat",
     device_map="auto"
 )
-tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-1.5-0_5B-Chat")
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-0.5B-Chat")
 
 prompt = "Give me a short introduction to large language model."
 messages = [
@@ -75,7 +75,7 @@ generated_ids = [
 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 ```
 
-For quantized models, we advise you to use the GPTQ, AWQ, and GGUF correspondents, namely `Qwen-beta-0_5B-Chat-GPTQ`, `Qwen-beta-0_5B-Chat-AWQ`, and `Qwen-beta-0_5B-Chat-GGUF`.
+For quantized models, we advise you to use the GPTQ, AWQ, and GGUF correspondents, namely `Qwen1.5-0.5B-Chat-GPTQ`, `Qwen1.5-0.5B-Chat-AWQ`, and `Qwen1.5-0.5B-Chat-GGUF`.
 
 
 ## Limitations