Update README.md

README.md

@@ -7,7 +7,7 @@ tags:
 - chat
 ---
 
-# Qwen2-MoE-57B-A14B-Instruct
+# Qwen2-57B-A14B-Instruct
 
 ## Introduction
 
@@ -15,7 +15,7 @@ Qwen2 is the new series of Qwen large language models. For Qwen2, we release a n
 
 Compared with the state-of-the-art opensource language models, including the previous released Qwen1.5, Qwen2 has generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc.
 
-Qwen2-MoE-57B-A14B-Instruct supports a context length of up to 65,536 tokens, enabling the processing of extensive inputs. Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2 for handling long texts.
+Qwen2-57B-A14B-Instruct supports a context length of up to 65,536 tokens, enabling the processing of extensive inputs. Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2 for handling long texts.
 
 For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2/) and [GitHub](https://github.com/QwenLM/Qwen2).
 <br>
@@ -101,7 +101,7 @@ For deployment, we recommend using vLLM. You can enable the long-context capabil
 3. **Model Deployment**: Utilize vLLM to deploy your model. For instance, you can set up an openAI-like server using the command:
 
     ```bash
-    python -m vllm.entrypoints.openai.api_server --served-model-name Qwen2-MoE-57B-A14B-Instruct --model path/to/weights
+    python -m vllm.entrypoints.openai.api_server --served-model-name Qwen2-57B-A14B-Instruct --model path/to/weights
     ```
 
     Then you can access the Chat API by:
@@ -110,7 +110,7 @@ For deployment, we recommend using vLLM. You can enable the long-context capabil
     curl http://localhost:8000/v1/chat/completions \
         -H "Content-Type: application/json" \
         -d '{
-        "model": "Qwen2-MoE-57B-A14B-Instruct",
+        "model": "Qwen2-57B-A14B-Instruct",
         "messages": [
             {"role": "system", "content": "You are a helpful assistant."},
             {"role": "user", "content": "Your Long Input Here."}