Update README.md

README.md

@@ -23,7 +23,7 @@ uv pip install vllm --torch-backend=auto
 from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
 import torch
 
-MODEL_PATH = "INC4AI/MiniMax-M2.5-int4-mixed-AutoRound"
+MODEL_PATH = "Intel/MiniMax-M2.5-int4-AutoRound"
 
 model = AutoModelForCausalLM.from_pretrained(
     MODEL_PATH,
@@ -50,7 +50,7 @@ print(response)
 ### VLLM Usage
 
 ```bash
-vllm serve INC4AI/MiniMax-M2.5-int4-mixed-AutoRound \
+vllm serve Intel/MiniMax-M2.5-int4-AutoRound \
     --port 7777 \
     --host localhost \
     --trust-remote-code \
@@ -64,7 +64,7 @@ vllm serve INC4AI/MiniMax-M2.5-int4-mixed-AutoRound \
 ## Generate the Model
 
 ```bash
-auto-round --model_name MiniMaxAI/MiniMax-M2.5 --scheme w4a16 --ignore_layers gate --iters 0 --output_dir MiniMax-M2.5-int4-mixed-AutoRound
+auto-round --model_name MiniMaxAI/MiniMax-M2.5 --scheme w4a16 --ignore_layers gate --iters 0 --output_dir MiniMax-M2.5-int4-AutoRound
 ```
 
 ## Ethical Considerations and Limitations