[Minor] Update scripts.

tinychat/scripts/llama2_demo.sh

@@ -2,13 +2,13 @@ MODEL_PATH=/data/llm/checkpoints/llama2-hf
 MODEL_NAME=llama-2-7b-chat
 
 # # Perform AWQ search and save search results (we already did it for you):
-# mkdir awq_cache
+# mkdir -p awq_cache
 # python -m awq.entry --model_path $MODEL_PATH/$MODEL_NAME \
 #     --w_bit 4 --q_group_size 128 \
 #     --run_awq --dump_awq awq_cache/llama-2-7b-chat-w4-g128.pt
 
 # Generate real quantized weights (INT4):
-mkdir quant_cache
+mkdir -p quant_cache
 python -m awq.entry --model_path $MODEL_PATH/$MODEL_NAME \
     --w_bit 4 --q_group_size 128 \
     --load_awq awq_cache/llama-2-7b-chat-w4-g128.pt \