test_experts_int8.py

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

# flake8: noqa
"""Tests experts_int8 quantization startup and generation,
doesn't test correctness
"""

import pytest
import os

from tests.quantization.utils import is_quant_method_supported
from ..utils import models_path_prefix
from vllm.platforms import current_platform


from ..models.registry import HF_EXAMPLE_MODELS

MODELS = [os.path.join(models_path_prefix, "ai21labs/Jamba-tiny-random"), os.path.join(models_path_prefix, "pfnet/plamo-2-1b")]


@pytest.mark.skipif(
    not is_quant_method_supported("experts_int8"),
    reason="ExpertsInt8 is not supported on this GPU type.",
)
@pytest.mark.parametrize("model", MODELS)
@pytest.mark.parametrize("dtype", ["bfloat16"])
@pytest.mark.parametrize("max_tokens", [4])
def test_model_experts_int8_startup(
    hf_runner,
    vllm_runner,
    example_prompts,
    model: str,
    dtype: str,
    max_tokens: int,
) -> None:
    model_info = HF_EXAMPLE_MODELS.find_hf_info(model)
    model_info.check_transformers_version(on_fail="skip")

    with vllm_runner(
        model,
        dtype=dtype,
        enforce_eager=True,
        quantization="experts_int8",
        allow_deprecated_quantization=True,
    ) as vllm_model:
        vllm_model.generate_greedy(example_prompts, max_tokens)