update.

src/display/about.py

@@ -49,16 +49,6 @@ python main.py --model=hf-causal-experimental
     --output_path=<output_path>
 ```
 
-```
-python main.py --model=hf-causal-experimental
-    --model_args="pretrained=<your_model>,use_accelerate=True,revision=<your_model_revision>"
-    --tasks=<task_list>
-    --num_fewshot=<n_few_shot>
-    --batch_size=1
-    --output_path=<output_path>
-
-```
-
 **Note:** 
 - We run `llama.cpp` series models on Xeon CPU and others on NVidia GPU. 
 - If model paramerters > 7B, we use `--batch_size 4`. If model parameters < 7B, we use `--batch_size 2`. And we set `--batch_size 1` for llama.cpp. You can expect results to vary slightly for different batch sizes because of padding.