Update README.md

README.md

@@ -28,7 +28,7 @@ Please place the downloaded PDF files in the ./pdf directory.
 (You will need to create the jgraphqa directory if it does not already exist.)
 
 ### Optional
-- If you would like to evaluate akirakinoshita/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1, Please modify [lmms_eval/models/llava_onevision.py](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py) as follows.
+- If you would like to evaluate r-g2-2024/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1, Please modify [lmms_eval/models/llava_onevision.py](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py) as follows.
   - Please add the following code below line [284](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py#L284).
 ```python
                     # image_tensor = process_images(visual, self._image_processor, self._config)　# This part is already present in the original code
@@ -70,7 +70,7 @@ Please place the downloaded PDF files in the ./pdf directory.
 ```bash
 CUDA_VISIBLE_DEVICES=0,1 python -m lmms_eval \
     --model llava_onevision  \
-    --model_args pretrained="akirakinoshita/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1",model_name=llava_llama_3,conv_template=llava_llama_3,device_map=auto \
+    --model_args pretrained="r-g2-2024/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1",model_name=llava_llama_3,conv_template=llava_llama_3,device_map=auto \
     --tasks jgraphqa \
     --batch_size=1 \
     --log_samples \