[CI/Build] Fix CI LoRA failure (#16270)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

tests/lora/test_quant_model.py

@@ -78,12 +78,7 @@ def do_sample(llm: vllm.LLM,
 
 
 @pytest.mark.parametrize("model", MODELS)
-@pytest.mark.parametrize("tp_size", [1])
-def test_quant_model_lora(tinyllama_lora_files, num_gpus_available, model,
-                          tp_size):
-    if num_gpus_available < tp_size and \
-        tp_size > 1 and current_platform.is_cuda_alike():
-        pytest.skip(f"Not enough GPUs for tensor parallelism {tp_size}")
+def test_quant_model_lora(tinyllama_lora_files, model):
 
     llm = vllm.LLM(
         model=model.model_path,
@@ -91,7 +86,6 @@ def test_quant_model_lora(tinyllama_lora_files, num_gpus_available, model,
         max_num_seqs=16,
         max_loras=4,
         max_model_len=400,
-        tensor_parallel_size=tp_size,
         gpu_memory_utilization=0.2,  #avoid OOM
         quantization=model.quantization,
         trust_remote_code=True,
@@ -185,7 +179,6 @@ def test_quant_model_tp_equality(tinyllama_lora_files, num_gpus_available,
         enable_lora=True,
         max_num_seqs=16,
         max_loras=4,
-        tensor_parallel_size=1,
         gpu_memory_utilization=0.2,  #avoid OOM
         quantization=model.quantization,
         trust_remote_code=True,