Migrate performance, accuracy, and quantization tests to CI registry (#17177)

Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com>

test/registered/quant/test_gguf.py

@@ -0,0 +1,30 @@
+import unittest
+
+from huggingface_hub import hf_hub_download
+
+import sglang as sgl
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.test_utils import CustomTestCase
+
+register_cuda_ci(est_time=96, suite="stage-b-test-small-1-gpu")
+
+
+class TestGGUF(CustomTestCase):
+    def test_models(self):
+        prompt = "Today is a sunny day and I like"
+        sampling_params = {"temperature": 0, "max_new_tokens": 8}
+
+        model_path = hf_hub_download(
+            "Qwen/Qwen2-1.5B-Instruct-GGUF",
+            filename="qwen2-1_5b-instruct-q4_k_m.gguf",
+        )
+
+        engine = sgl.Engine(model_path=model_path, random_seed=42, cuda_graph_max_bs=2)
+        outputs = engine.generate(prompt, sampling_params)["text"]
+        engine.shutdown()
+
+        self.assertEqual(outputs, " it. I have a lot of work")
+
+
+if __name__ == "__main__":
+    unittest.main()