intel · wenhuach21 · Nov 25, 2024 · Nov 25, 2024 · Nov 25, 2024 · Nov 25, 2024
diff --git a/README.md b/README.md
diff --git a/auto_round/mllm/README.md b/auto_round/mllm/README.md
@@ -125,11 +125,11 @@ from auto_round import AutoRoundConfig ## must import for auto-round format
 
 For more details on quantization, inference, evaluation, and environment, see the following recipe:
 
-- [Qwen2-VL-7B-Instruct](../../docs/Qwen2-VL-7B-Instruct_sym.md)
-- [Llama-3.2-11B-Vision](../../docs/Llama-3.2-11B-Vision-Instruct_sym.md) 
-- [Phi-3.5-vision-instruct](../../docs/Phi-3.5-vision-instruct_sym.md)
-- [llava-v1.5-7b](../../docs/llava-v1.5-7b_sym.md)
-- [cogvlm2-llama3-chat-19B](../../docs/cogvlm2-llama3-chat-19B_sym.md)
+- [Qwen2-VL-7B-Instruct](../../docs/Qwen2-VL-7B-Instruct-sym.md)
+- [Llama-3.2-11B-Vision](../../docs/Llama-3.2-11B-Vision-Instruct-sym.md) 
+- [Phi-3.5-vision-instruct](../../docs/Phi-3.5-vision-instruct-sym.md)
+- [llava-v1.5-7b](../../docs/llava-v1.5-7b-sym.md)
+- [cogvlm2-llama3-chat-19B](../../docs/cogvlm2-llama3-chat-19B-sym.md)
 
 
 

diff --git a/docs/Llama-3.2-11B-Vision-Instruct_sym.md → docs/Llama-3.2-11B-Vision-Instruct-sym.md b/docs/Llama-3.2-11B-Vision-Instruct_sym.md → docs/Llama-3.2-11B-Vision-Instruct-sym.md
@@ -106,7 +106,7 @@ auto-round-mllm --eval --model Intel/Llama-3.2-11B-Vision-Instruct-inc-private -
 ### Generate the model
 Here is the sample command to reproduce the model.
 ```bash
-pip install auto_round
+pip install auto-round
 auto-round-mllm
 --model meta-llama/Llama-3.2-11B-Vision-Instruct \
 --device 0 \

diff --git a/docs/Phi-3.5-vision-instruct_sym.md → docs/Phi-3.5-vision-instruct-sym.md b/docs/Phi-3.5-vision-instruct_sym.md → docs/Phi-3.5-vision-instruct-sym.md
@@ -118,7 +118,7 @@ auto-round-mllm --eval --model Intel/Qwen2-VL-7B-Instruct-inc-private --tasks MM
 ### Generate the model
 Here is the sample command to reproduce the model.
 ```bash
-pip install auto_round
+pip install auto-round
 auto-round-mllm
 --model microsoft/Phi-3.5-vision-instruct \
 --device 0 \

diff --git a/docs/Qwen2-VL-7B-Instruct_sym.md → docs/Qwen2-VL-7B-Instruct-sym.md b/docs/Qwen2-VL-7B-Instruct_sym.md → docs/Qwen2-VL-7B-Instruct-sym.md
diff --git a/docs/Qwen2.5-14B-Instruct_sym.md → docs/Qwen2.5-14B-Instruct-sym.md b/docs/Qwen2.5-14B-Instruct_sym.md → docs/Qwen2.5-14B-Instruct-sym.md
diff --git a/docs/Qwen2.5-32B-Instruct_sym.md → docs/Qwen2.5-32B-Instruct-sym.md b/docs/Qwen2.5-32B-Instruct_sym.md → docs/Qwen2.5-32B-Instruct-sym.md
@@ -141,7 +141,7 @@ auto-round --model "Intel/Qwen2.5-32B-Instruct-int4-inc" --eval --eval_bs 16  --
 
 Here is the sample command to generate the model. 
 
-For symmetric quantization, we found overflow/NAN will occur for some backends, so better fallback some layers. auto_round requires version >0.4.1
+For symmetric quantization, we found overflow/NAN will occur for some backends, so better fallback some layers. auto_round requires version > 0.3.1
 
 ```bash
 auto-round \

diff --git a/docs/Qwen2.5-72B-Instruct_sym.md → docs/Qwen2.5-72B-Instruct-sym.md b/docs/Qwen2.5-72B-Instruct_sym.md → docs/Qwen2.5-72B-Instruct-sym.md
diff --git a/docs/Qwen2.5-7B-Instruct_sym.md → docs/Qwen2.5-7B-Instruct-sym.md b/docs/Qwen2.5-7B-Instruct_sym.md → docs/Qwen2.5-7B-Instruct-sym.md
diff --git a/docs/cogvlm2-llama3-chat-19B_sym.md → docs/cogvlm2-llama3-chat-19B-sym.md b/docs/cogvlm2-llama3-chat-19B_sym.md → docs/cogvlm2-llama3-chat-19B-sym.md
@@ -89,7 +89,7 @@ auto-round-mllm --lmms --model Intel/cogvlm2-llama3-chat-19B-inc-private --tasks
 ### Generate the model
 Here is the sample command to reproduce the model.
 ```bash
-pip install auto_round
+pip install auto-round
 auto-round-mllm
 --model THUDM/cogvlm2-llama3-chat-19B \
 --device 0 \

diff --git a/docs/llava-v1.5-7b_sym.md → docs/llava-v1.5-7b-sym.md b/docs/llava-v1.5-7b_sym.md → docs/llava-v1.5-7b-sym.md
@@ -95,7 +95,7 @@ auto-round-mllm --lmms --model Intel/llava-v1.5-7b-inc-private --tasks pope,text
 ### Generate the model
 Here is the sample command to reproduce the model.
 ```bash
-pip install auto_round
+pip install auto-round
 auto-round-mllm
 --model liuhaotian/llava-v1.5-7b \
 --device 0 \