feat(openvino): добавлена модель large-v3-turbo

- Зачем:
  - нужен быстрый качественный профиль Whisper для локального распознавания.
- Что:
  - добавлены официальные варианты large-v3-turbo INT8 и FP16.
  - покрыты каталог, выбор квантизации, ошибка и создание модели.
- Проверка:
  - uv run pytest.

src/local_transcriber/backends/openvino.py

@@ -23,6 +23,8 @@ MODEL_REPOS: dict[tuple[str, str], str] = {
     ("medium", "fp16"): "OpenVINO/whisper-medium-fp16-ov",
     ("large-v3", "int8"): "OpenVINO/whisper-large-v3-int8-ov",
     ("large-v3", "fp16"): "OpenVINO/whisper-large-v3-fp16-ov",
+    ("large-v3-turbo", "int8"): "OpenVINO/whisper-large-v3-turbo-int8-ov",
+    ("large-v3-turbo", "fp16"): "OpenVINO/whisper-large-v3-turbo-fp16-ov",
 }
 
 # Fallback: если точная пара не найдена, пробуем альтернативный compute_type

tests/test_backend_openvino.py

@@ -17,6 +17,20 @@ from local_transcriber.types import Segment
 # === _resolve_repo ===
 
 
+def test_model_catalog_contains_supported_profiles():
+    assert MODEL_REPOS == {
+        ("tiny", "int8"): "OpenVINO/whisper-tiny-int8-ov",
+        ("base", "fp16"): "OpenVINO/whisper-base-fp16-ov",
+        ("small", "int8"): "OpenVINO/whisper-small-int8-ov",
+        ("medium", "int8"): "OpenVINO/whisper-medium-int8-ov",
+        ("medium", "fp16"): "OpenVINO/whisper-medium-fp16-ov",
+        ("large-v3", "int8"): "OpenVINO/whisper-large-v3-int8-ov",
+        ("large-v3", "fp16"): "OpenVINO/whisper-large-v3-fp16-ov",
+        ("large-v3-turbo", "int8"): "OpenVINO/whisper-large-v3-turbo-int8-ov",
+        ("large-v3-turbo", "fp16"): "OpenVINO/whisper-large-v3-turbo-fp16-ov",
+    }
+
+
 def test_resolve_repo_exact_match():
     backend = OpenVINOBackend(compute_type_explicit=True)
     assert backend._resolve_repo("medium", "int8") == ("OpenVINO/whisper-medium-int8-ov", "int8")
@@ -60,6 +74,26 @@ def test_resolve_repo_explicit_large_v3_int8_respected():
     assert backend._resolve_repo("large-v3", "int8") == ("OpenVINO/whisper-large-v3-int8-ov", "int8")
 
 
+@pytest.mark.parametrize("compute_type", ["int8", "fp16"])
+def test_resolve_repo_large_v3_turbo_quantization(compute_type):
+    backend = OpenVINOBackend(compute_type_explicit=True)
+
+    assert backend._resolve_repo("large-v3-turbo", compute_type) == (
+        f"OpenVINO/whisper-large-v3-turbo-{compute_type}-ov",
+        compute_type,
+    )
+
+
+def test_resolve_repo_large_v3_turbo_unsupported_quantization_raises():
+    backend = OpenVINOBackend(compute_type_explicit=True)
+
+    with pytest.raises(
+        ValueError,
+        match="Доступные варианты: fp16, int8",
+    ):
+        backend._resolve_repo("large-v3-turbo", "float32")
+
+
 # === ensure_model_available ===
 
 
@@ -101,6 +135,27 @@ def test_ensure_model_available_downloads(mock_download, tmp_path):
     assert any("Скачиваю" in s for s in statuses)
 
 
+@patch("local_transcriber.backends.openvino.snapshot_download")
+def test_large_v3_turbo_model_is_resolved_and_created(mock_download, tmp_path):
+    model_dir = tmp_path / "large-v3-turbo"
+    model_dir.mkdir()
+    (model_dir / "openvino_encoder_model.xml").write_text("<xml/>")
+    (model_dir / "openvino_decoder_model.xml").write_text("<xml/>")
+    mock_download.return_value = str(model_dir)
+    mock_ov = MagicMock()
+
+    backend = OpenVINOBackend(ov_device="openvino-cpu", compute_type_explicit=True)
+    model_path = backend.ensure_model_available("large-v3-turbo", "int8")
+    with patch.dict("sys.modules", {"openvino_genai": mock_ov}):
+        backend.create_model(model_path, "openvino-cpu", "int8")
+
+    mock_download.assert_called_once_with(
+        "OpenVINO/whisper-large-v3-turbo-int8-ov",
+        local_files_only=True,
+    )
+    mock_ov.WhisperPipeline.assert_called_once_with(str(model_dir), "CPU")
+
+
 # === create_model ===