diff --git a/docs/create_benchmarks_table.py b/docs/create_benchmarks_table.py
index f22d2638bc..287e072a8c 100644
--- a/docs/create_benchmarks_table.py
+++ b/docs/create_benchmarks_table.py
@@ -3,8 +3,9 @@
 from collections import Counter
 from pathlib import Path
 
+from create_tasks_table import insert_tables
+
 import mteb
-from docs.create_tasks_table import insert_tables
 
 
 def benchmark_to_markdown_row(b: mteb.Benchmark) -> str:
diff --git a/tests/scripts/test_generate_model_meta.py b/tests/scripts/test_generate_model_meta.py
deleted file mode 100644
index c930eff497..0000000000
--- a/tests/scripts/test_generate_model_meta.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from __future__ import annotations
-
-import importlib.util
-from pathlib import Path
-
-import pytest
-
-from scripts.generate_metadata import get_base_model
-from scripts.generate_metadata import main as generate_metadata_main
-
-
-def test_create_model_meta_embedding_models_from_hf(tmp_path: Path):
-    models = ["intfloat/multilingual-e5-large", "intfloat/multilingual-e5-small"]
-    tmp_path = tmp_path / "new_models.py"
-    generate_metadata_main(tmp_path, models)
-
-    assert tmp_path.exists()
-    assert tmp_path.read_text().startswith("from mteb.model_meta import ModelMeta")
-
-    spec = importlib.util.spec_from_file_location("new_models", tmp_path)
-    new_models = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(new_models)
-
-    assert hasattr(new_models, "intfloat__multilingual_e5_large")
-    assert hasattr(new_models, "intfloat__multilingual_e5_small")
-
-    assert (
-        new_models.intfloat__multilingual_e5_large.name
-        == "intfloat/multilingual-e5-large"
-    )
-    assert (
-        new_models.intfloat__multilingual_e5_small.name
-        == "intfloat/multilingual-e5-small"
-    )
-
-
-def test_get_base_model_name_is_the_same():
-    model_name = "jinaai/jina-embeddings-v3"
-    model = get_base_model(model_name)
-    assert model is None
-
-
-@pytest.mark.skip(reason="No support for cross-encoder models")
-def test_create_model_meta_cross_encoder_models_from_hf(tmp_path: Path):
-    models = ["intfloat/multilingual-e5-cross-encoder"]
-    tmp_path = tmp_path / "new_models.py"
-    generate_metadata_main(tmp_path, models)
-    assert True