diff --git a/scripts/fetch_server_test_models.py b/scripts/fetch_server_test_models.py
new file mode 100644
index 000000000..c2021c335
--- /dev/null
+++ b/scripts/fetch_server_test_models.py
@@ -0,0 +1,67 @@
+'''
+    This script fetches all the models used in the server tests.
+    
+    This is useful for slow tests that use larger models, to avoid them timing out on the model downloads.
+    
+    It is meant to be run from the root of the repository.
+    
+    Example:
+        python scripts/fetch_server_test_models.py
+        ( cd examples/server/tests && ./tests.sh --tags=slow )
+'''
+import os
+from behave.parser import Parser
+import glob
+import re
+from pydantic import BaseModel
+import subprocess
+
+
+class HuggingFaceModel(BaseModel):
+    hf_repo: str
+    hf_file: str
+
+    class Config:
+        frozen = True
+
+
+models = set()
+
+model_file_re = re.compile(r'a model file ([^\s\n\r]+) from HF repo ([^\s\n\r]+)')
+
+
+def process_step(step):
+    if (match := model_file_re.search(step.name)):
+        (hf_file, hf_repo) = match.groups()
+        models.add(HuggingFaceModel(hf_repo=hf_repo, hf_file=hf_file))
+
+
+feature_files = glob.glob(
+    os.path.join(
+        os.path.dirname(__file__),
+        '../examples/server/tests/features/*.feature'))
+
+for feature_file in feature_files:
+    with open(feature_file, 'r') as file:
+        feature = Parser().parse(file.read())
+        if not feature: continue
+
+    if feature.background:
+        for step in feature.background.steps:
+            process_step(step)
+
+    for scenario in feature.walk_scenarios(with_outlines=True):
+        for step in scenario.steps:
+            process_step(step)
+
+cli_path = os.environ.get(
+    'LLAMA_SERVER_BIN_PATH',
+    os.path.join(
+        os.path.dirname(__file__),
+        '../build/bin/Release/llama-cli.exe' if os.name == 'nt' else '../build/bin/llama-cli'))
+
+for m in models:
+    if '<' in m.hf_repo or '<' in m.hf_file:
+        continue
+    print(f'# Ensuring model at {m.hf_repo} / {m.hf_file} is fetched')
+    subprocess.check_call([cli_path, '-hfr', m.hf_repo, '-hff', m.hf_file, '-fa', '-n', '1', '-p', 'Hey', '--no-warmup'])