Update README.md

README.md

@@ -17,7 +17,7 @@ pipeline_tag: visual-question-answering
 
 ## Model
 
-**LLaVA-InternLM-7B** (llava-internlm-chat-7b-clip-vit-large-p14-336) is a LLaVA model fine-tuned from [InternLM-Chat-7B](https://huggingface.co/internlm/internlm-chat-7b) and [CLIP-ViT-Large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) with [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) and [LLaVA-Instruct](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K) by [XTuner](https://github.com/InternLM/xtuner).
+llava-internlm-7b is a LLaVA model fine-tuned from [InternLM-Chat-7B](https://huggingface.co/internlm/internlm-chat-7b) and [CLIP-ViT-Large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) with [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) and [LLaVA-Instruct](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K) by [XTuner](https://github.com/InternLM/xtuner).
 
 
 ## Quickstart
@@ -33,7 +33,7 @@ pip install -U 'xtuner[deepspeed]'
 ```shell
 xtuner chat internlm/internlm-chat-7b \
   --visual-encoder openai/clip-vit-large-patch14 \
-  --llava xtuner/llava-internlm-chat-7b-clip-vit-large-p14-336 \
+  --llava xtuner/llava-internlm-7b \
   --prompt-template internlm_chat \
   --image $IMAGE_PATH
 ```
@@ -60,7 +60,7 @@ XTuner integrates the MMBench evaluation, and you can perform evaluations with t
 ```bash
 xtuner mmbench internlm/internlm-chat-7b \
   --visual-encoder openai/clip-vit-large-patch14 \
-  --llava xtuner/llava-internlm-chat-7b-clip-vit-large-p14-336 \
+  --llava xtuner/llava-internlm-7b \
   --prompt-template internlm_chat \
   --data-path $MMBENCH_DATA_PATH \
   --language en \