diff --git a/.devops/tools.sh b/.devops/tools.sh
index 352e049421b57..a3eb391894a0c 100755
--- a/.devops/tools.sh
+++ b/.devops/tools.sh
@@ -16,11 +16,7 @@ elif [[ $arg1 == '--quantize' || $arg1 == '-q' ]]; then
     ./quantize $arg2
 elif [[ $arg1 == '--run' || $arg1 == '-r' ]]; then
     ./main $arg2
-elif [[ $arg1 == '--download' || $arg1 == '-d' ]]; then
-    python3 ./download-pth.py $arg2
 elif [[ $arg1 == '--all-in-one' || $arg1 == '-a' ]]; then
-    echo "Downloading model..."
-    python3 ./download-pth.py "$1" "$2"
     echo "Converting PTH to GGML..."
     for i in `ls $1/$2/ggml-model-f16.bin*`; do
         if [ -f "${i/f16/q4_0}" ]; then
@@ -39,8 +35,6 @@ else
     echo "              ex: \"/models/7B/\" 1"
     echo "  --quantize (-q): Optimize with quantization process ggml"
     echo "              ex: \"/models/7B/ggml-model-f16.bin\" \"/models/7B/ggml-model-q4_0.bin\" 2"
-    echo "  --download (-d): Download original llama model from CDN: https://agi.gpt4.org/llama/"
-    echo "              ex: \"/models/\" 7B"
-    echo "  --all-in-one (-a): Execute --download, --convert & --quantize"
+    echo "  --all-in-one (-a): Execute --convert and --quantize"
     echo "              ex: \"/models/\" 7B"
 fi
diff --git a/download-pth.py b/download-pth.py
deleted file mode 100644
index 129532c0c6b40..0000000000000
--- a/download-pth.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import os
-import sys
-from tqdm import tqdm
-import requests
-
-if len(sys.argv) < 3:
-    print("Usage: download-pth.py dir-model model-type\n")
-    print("  model-type: Available models 7B, 13B, 30B or 65B")
-    sys.exit(1)
-
-modelsDir = sys.argv[1]
-model = sys.argv[2]
-
-num = {
-    "7B": 1,
-    "13B": 2,
-    "30B": 4,
-    "65B": 8,
-}
-
-if model not in num:
-    print(f"Error: model {model} is not valid, provide 7B, 13B, 30B or 65B")
-    sys.exit(1)
-
-print(f"Downloading model {model}")
-
-files = ["checklist.chk", "params.json"]
-
-for i in range(num[model]):
-    files.append(f"consolidated.0{i}.pth")
-
-resolved_path = os.path.abspath(os.path.join(modelsDir, model))
-os.makedirs(resolved_path, exist_ok=True)
-
-for file in files:
-    dest_path = os.path.join(resolved_path, file)
-    
-    if os.path.exists(dest_path):
-        print(f"Skip file download, it already exists: {file}")
-        continue
-
-    url = f"https://agi.gpt4.org/llama/LLaMA/{model}/{file}"
-    response = requests.get(url, stream=True)
-    with open(dest_path, 'wb') as f:
-        with tqdm(unit='B', unit_scale=True, miniters=1, desc=file) as t:
-            for chunk in response.iter_content(chunk_size=1024):
-                if chunk:
-                    f.write(chunk)
-                    t.update(len(chunk))
-
-files2 = ["tokenizer_checklist.chk", "tokenizer.model"]
-for file in files2:
-    dest_path = os.path.join(modelsDir, file)
-    
-    if os.path.exists(dest_path):
-        print(f"Skip file download, it already exists: {file}")
-        continue
-    
-    url = f"https://agi.gpt4.org/llama/LLaMA/{file}"
-    response = requests.get(url, stream=True)
-    with open(dest_path, 'wb') as f:
-        with tqdm(unit='B', unit_scale=True, miniters=1, desc=file) as t:
-            for chunk in response.iter_content(chunk_size=1024):
-                if chunk:
-                    f.write(chunk)
-                    t.update(len(chunk))
\ No newline at end of file