Revert "[Feature][Quant] Auto-detect quantization format from model f… (#6873)

This reverts commit 3953dcf784. to keep
the basic functions available

---------

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

tests/e2e/singlecard/test_quantization.py

@@ -49,43 +49,6 @@ def test_qwen3_w8a8_quant():
         name_1="vllm_quant_w8a8_outputs",
     )
 
-# fmt: off
-def test_qwen3_w8a8_quant_auto_detect():
-    """Test that ModelSlim quantization is auto-detected without --quantization.
-
-    Uses the same W8A8 model as test_qwen3_w8a8_quant but omits the
-    quantization parameter, verifying that the auto-detection in
-    maybe_auto_detect_quantization() picks up quant_model_description.json
-    and produces identical results.
-    """
-    max_tokens = 5
-    example_prompts = [
-        "vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs."
-    ]
-    vllm_target_outputs = [([
-        85, 4086, 44, 374, 264, 1550, 42747, 628, 323, 4938, 72816, 44378, 323,
-        13480, 4712, 369, 444, 10994, 82, 13, 1084, 374, 6188, 311, 387
-    ], 'vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It is designed to be'
-                            )]
-# fmt: on
-
-    with VllmRunner(
-            "vllm-ascend/Qwen3-0.6B-W8A8",
-            max_model_len=8192,
-            gpu_memory_utilization=0.7,
-            cudagraph_capture_sizes=[1, 2, 4, 8],
-    ) as vllm_model:
-        vllm_quant_auto_detect_outputs = vllm_model.generate_greedy(
-            example_prompts, max_tokens)
-
-    check_outputs_equal(
-        outputs_0_lst=vllm_target_outputs,
-        outputs_1_lst=vllm_quant_auto_detect_outputs,
-        name_0="vllm_target_outputs",
-        name_1="vllm_quant_auto_detect_outputs",
-    )
-
-
 # fmt: off
 def test_qwen3_dense_w8a16():
     max_tokens = 5