[CI] Enable linux-aarch64-a2 (64GB) and tp2 * 2 max-parallel to speed up CI (#2065)

### What this PR does / why we need it?
Currently our workflow run time takes about 3 hours in total, which
seriously affects the developer experience, so it is urgent to have a
optimization, after this pr, It is expected that the running time of the
full CI can be shortened to 1h40min.

- Enable linux-aarch64-a2 (64GB) to replace linux-arm64-npu (32GB)
- Change TP4 ---> TP2 * 2 max-parallel
- Move DeepSeek-V2-Lite-W8A8 to single card test

### Does this PR introduce _any_ user-facing change?
No


- vLLM version: v0.10.0
- vLLM main:
a2480251ec

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

tests/e2e/singlecard/test_offline_inference.py

@@ -25,7 +25,6 @@ from unittest.mock import patch
 
 import pytest
 import vllm  # noqa: F401
-from modelscope import snapshot_download  # type: ignore[import-untyped]
 from vllm import SamplingParams
 from vllm.assets.audio import AudioAsset
 from vllm.assets.image import ImageAsset
@@ -40,9 +39,6 @@ MODELS = [
 MULTIMODALITY_VL_MODELS = ["Qwen/Qwen2.5-VL-3B-Instruct"]
 MULTIMODALITY_AUDIO_MODELS = ["Qwen/Qwen2-Audio-7B-Instruct"]
 
-QUANTIZATION_MODELS = [
-    "vllm-ascend/Qwen2.5-0.5B-Instruct-W8A8",
-]
 os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
 AUDIO_ASSETS = [AudioAsset("mary_had_lamb"), AudioAsset("winning_call")]
 AUDIO_PROMPT_TEMPLATES = {
@@ -70,27 +66,6 @@ def test_models(model: str, dtype: str, max_tokens: int) -> None:
         vllm_model.generate_greedy(example_prompts, max_tokens)
 
 
-@pytest.mark.parametrize("model", QUANTIZATION_MODELS)
-@pytest.mark.parametrize("max_tokens", [5])
-def test_quantization_models(model: str, max_tokens: int) -> None:
-    prompt = "The following numbers of the sequence " + ", ".join(
-        str(i) for i in range(1024)) + " are:"
-    example_prompts = [prompt]
-
-    # NOTE: Using quantized model repo id from modelscope encounters an issue,
-    # this pr (https://github.com/vllm-project/vllm/pull/19212) fix the issue,
-    # after it is being merged, there's no need to download model explicitly.
-    model_path = snapshot_download(model)
-
-    with VllmRunner(model_path,
-                    max_model_len=8192,
-                    enforce_eager=True,
-                    dtype="auto",
-                    gpu_memory_utilization=0.7,
-                    quantization="ascend") as vllm_model:
-        vllm_model.generate_greedy(example_prompts, max_tokens)
-
-
 @pytest.mark.parametrize("model", MULTIMODALITY_VL_MODELS)
 def test_multimodal_vl(model, prompt_template, vllm_runner):
     image = ImageAsset("cherry_blossom") \