diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml
index be8c78a..dd244a4 100644
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-tests.yml
@@ -31,8 +31,5 @@ jobs:
     - name: Install dependencies
       run: uv sync --dev -p ${{ matrix.python-version }}
     - name: Run pytest
-      env:
-        HF_TOKEN: ${{ secrets.HF_TOKEN }}
       run: |
-        uvx hf auth login --token $HF_TOKEN
         uv run -p ${{ matrix.python-version }} pytest -v ./tests
diff --git a/tests/test_cli_generate.py b/tests/test_cli_generate.py
index 94583a7..d6d70b1 100644
--- a/tests/test_cli_generate.py
+++ b/tests/test_cli_generate.py
@@ -1,5 +1,8 @@
 """Integration tests for the CLI generate command using real implementation."""
 
+import os
+
+import pytest
 from typer.testing import CliRunner
 
 from pocket_tts.data.audio import audio_read
@@ -10,6 +13,9 @@ other_voice = "https://huggingface.co/kyutai/tts-voices/resolve/main/expresso/ex
 
 runner = CliRunner()
 
+IS_CI = os.environ.get("CI") == "true"
+CI_SKIP_REASON = "Voice cloning is not publicly available, skipping in the CI"
+
 
 def test_generate_basic_usage(tmp_path):
     """Test basic generate command with default parameters."""
@@ -32,6 +38,7 @@ def test_generate_basic_usage(tmp_path):
     assert sample_rate == 24000  # Expected sample rate
 
 
+@pytest.mark.skipif(IS_CI, reason=CI_SKIP_REASON)
 def test_generate_with_custom_voice(tmp_path):
     """Test generate command with custom voice prompt."""
     output_file = tmp_path / "custom_voice_test.wav"
diff --git a/tests/test_documentation_examples.py b/tests/test_documentation_examples.py
index a95e8db..06b918d 100644
--- a/tests/test_documentation_examples.py
+++ b/tests/test_documentation_examples.py
@@ -10,9 +10,7 @@ def test_readme_example():
     from pocket_tts import TTSModel
 
     tts_model = TTSModel.load_model()
-    voice_state = tts_model.get_state_for_audio_prompt(
-        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-    )
+    voice_state = tts_model.get_state_for_audio_prompt("cosette")
     audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.")
     # Audio is a torch tensor containing PCM data.
     scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
@@ -27,9 +25,7 @@ def test_quick_start():
     tts_model = TTSModel.load_model()
 
     # Get voice state from an audio file
-    voice_state = tts_model.get_state_for_audio_prompt(
-        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-    )
+    voice_state = tts_model.get_state_for_audio_prompt("marius")
 
     # Generate audio
     audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.")
@@ -79,6 +75,9 @@ def test_get_state_for_audio_prompt():
     from pocket_tts import TTSModel
 
     model = TTSModel.load_model()
+    # hack to make it work without auth
+    model.has_voice_cloning = True
+
     # From HuggingFace URL
     voice_state = model.get_state_for_audio_prompt(
         "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
@@ -99,9 +98,7 @@ def test_generate_audio():
 
     model = TTSModel.load_model()
 
-    voice_state = model.get_state_for_audio_prompt(
-        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-    )
+    voice_state = model.get_state_for_audio_prompt("marius")
 
     # Generate audio
     audio = model.generate_audio(voice_state, "Hello world!", frames_after_eos=2, copy_state=True)
@@ -115,9 +112,7 @@ def test_generate_audio_stream():
 
     model = TTSModel.load_model()
 
-    voice_state = model.get_state_for_audio_prompt(
-        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-    )
+    voice_state = model.get_state_for_audio_prompt("fantine")
     # Stream generation
     for chunk in model.generate_audio_stream(voice_state, "Long text content..."):
         # Process each chunk as it's generated
@@ -131,17 +126,13 @@ def test_voice_management():
     model = TTSModel.load_model()
     # Preload multiple voices
     voices = {
-        "casual": model.get_state_for_audio_prompt(
-            "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-        ),
-        "funny": model.get_state_for_audio_prompt(
-            "https://huggingface.co/kyutai/tts-voices/resolve/main/expresso/ex01-ex02_default_001_channel1_168s.wav"
-        ),
+        "casual": model.get_state_for_audio_prompt("alba"),
+        "serious": model.get_state_for_audio_prompt("marius"),
     }
 
     # Generate with different voices
     casual_audio = model.generate_audio(voices["casual"], "Hey there!")
-    funny_audio = model.generate_audio(voices["funny"], "Good morning.")
+    funny_audio = model.generate_audio(voices["serious"], "Good morning.")
 
 
 def test_batch_processing():
@@ -152,9 +143,7 @@ def test_batch_processing():
 
     model = TTSModel.load_model()
 
-    voice_state = model.get_state_for_audio_prompt(
-        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
-    )
+    voice_state = model.get_state_for_audio_prompt("azelma")
     # Process multiple texts efficiently by re-using the same voice state
     texts = [
         "First sentence to generate.",