[Feature] A calibration-free RTN-based quantization for accurate and accelerated INT4/INT8 inference (#18768)

Signed-off-by: Alex Kogan <alex.kogan@oracle.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>

tests/quantization/test_rtn.py

@@ -0,0 +1,28 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright © 2025, Oracle and/or its affiliates.
+"""Tests RTN quantization startup and generation, 
+doesn't test correctness
+"""
+import pytest
+
+from tests.quantization.utils import is_quant_method_supported
+
+MODELS = ["microsoft/Phi-3-mini-4k-instruct"]
+
+
+@pytest.mark.skipif(not is_quant_method_supported("rtn"),
+                    reason="RTN is not supported on this GPU type.")
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("dtype", ["bfloat16"])
+@pytest.mark.parametrize("max_tokens", [10])
+def test_model_rtn_startup(
+    hf_runner,
+    vllm_runner,
+    example_prompts,
+    model: str,
+    dtype: str,
+    max_tokens: int,
+) -> None:
+
+    with vllm_runner(model, dtype=dtype, quantization="rtn") as vllm_model:
+        vllm_model.generate_greedy(example_prompts, max_tokens)