[1/n][CI] Load models in CI from S3 instead of HF (#13205)

Signed-off-by: <>
Co-authored-by: EC2 Default User <ec2-user@ip-172-31-20-117.us-west-2.compute.internal>
This commit is contained in:
Kevin H. Luu
2025-02-18 23:34:59 -08:00
committed by GitHub
parent fd84857f64
commit d5d214ac7f
43 changed files with 225 additions and 76 deletions

View File

@@ -2,16 +2,21 @@
import pytest
from vllm.config import LoadFormat
from vllm.entrypoints.llm import LLM
from vllm.sampling_params import SamplingParams
from ..conftest import MODEL_WEIGHTS_S3_BUCKET
@pytest.mark.parametrize("model", ["facebook/opt-125m"])
@pytest.mark.parametrize("model", [f"{MODEL_WEIGHTS_S3_BUCKET}/distilgpt2"])
def test_skip_tokenizer_initialization(model: str):
# This test checks if the flag skip_tokenizer_init skips the initialization
# of tokenizer and detokenizer. The generated output is expected to contain
# token ids.
llm = LLM(model=model, skip_tokenizer_init=True)
llm = LLM(model=model,
skip_tokenizer_init=True,
load_format=LoadFormat.RUNAI_STREAMER)
sampling_params = SamplingParams(prompt_logprobs=True, detokenize=True)
with pytest.raises(ValueError, match="cannot pass text prompts when"):