[CI]: Add CI For HiMambaRadixTree and qwen3.5 (#20540)

Co-authored-by: ispobock <ispobaoke@gmail.com>

.github/workflows/pr-test.yml

@@ -1666,7 +1666,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        part: [0, 1, 2]
+        part: [0, 1, 2, 3]
 
     steps:
       - name: Checkout code
@@ -1695,7 +1695,7 @@ jobs:
           if [[ "${{ needs.check-changes.outputs.continue_on_error }}" == "true" ]]; then
             CONTINUE_ON_ERROR_FLAG="--continue-on-error"
           fi
-          IS_BLACKWELL=1 python3 run_suite.py --hw cuda --suite stage-c-test-4-gpu-b200 --auto-partition-id ${{ matrix.part }} --auto-partition-size 3 --timeout-per-file 1800 $CONTINUE_ON_ERROR_FLAG
+          IS_BLACKWELL=1 python3 run_suite.py --hw cuda --suite stage-c-test-4-gpu-b200 --auto-partition-id ${{ matrix.part }} --auto-partition-size 4 --timeout-per-file 1800 $CONTINUE_ON_ERROR_FLAG
 
       - uses: ./.github/actions/upload-cuda-coredumps
         if: always()

test/registered/4-gpu-models/test_qwen35_models.py

@@ -1,3 +1,5 @@
+import shutil
+import tempfile
 import unittest
 from types import SimpleNamespace
 
@@ -17,13 +19,11 @@ from sglang.test.test_utils import (
     popen_launch_server,
 )
 
-register_cuda_ci(est_time=1000, suite="stage-c-test-4-gpu-b200")
+register_cuda_ci(est_time=1400, suite="stage-c-test-4-gpu-b200")
 
 QWEN35_FP4_MODEL = "nvidia/Qwen3.5-397B-A17B-NVFP4"
-
-ACC_THRESHOLDS = {
-    QWEN35_FP4_MODEL: {"gsm8k": 0.95},
-}
+QWEN35_27B_MODEL = "Qwen/Qwen3.5-27B"
+ACC_THRESHOLDS = {QWEN35_FP4_MODEL: {"gsm8k": 0.95}, QWEN35_27B_MODEL: {"gsm8k": 0.8}}
 
 
 class TestQwen35FP4(CustomTestCase):
@@ -236,5 +236,78 @@ class TestQwen35FP4MTPV2(CustomTestCase):
         self.assertGreater(avg_spec_accept_length, 3.3)
 
 
+class TestQwen35WithHiCache(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = QWEN35_27B_MODEL
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.storage_dir = tempfile.mkdtemp(prefix="qwen35-hicache-")
+        env = {
+            "SGLANG_HICACHE_FILE_BACKEND_STORAGE_DIR": cls.storage_dir,
+        }
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            env=env,
+            other_args=[
+                "--tp-size",
+                "4",
+                "--chunked-prefill-size",
+                "2048",
+                "--mamba-scheduler-strategy",
+                "extra_buffer",
+                "--mamba-track-interval",
+                "128",
+                "--mamba-ssm-dtype",
+                "bfloat16",
+                "--max-running-requests",
+                "128",
+                "--reasoning-parser",
+                "qwen3",
+                "--model-loader-extra-config",
+                '{"enable_multithread_load": true,"num_threads": 64}',
+                "--hicache-mem-layout",
+                "page_first_direct",
+                "--enable-hierarchical-cache",
+                "--hicache-ratio",
+                "2",
+                "--hicache-size",
+                "0",
+                "--hicache-write-policy",
+                "write_through",
+                "--hicache-storage-backend",
+                "file",
+                "--hicache-storage-prefetch-policy",
+                "wait_complete",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+        shutil.rmtree(cls.storage_dir, ignore_errors=True)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            model=self.model,
+            eval_name="gsm8k",
+            num_shots=5,
+            num_examples=200,
+            max_tokens=16000,
+            num_threads=128,
+            repeat=1,
+            temperature=0.6,
+            top_p=0.95,
+            top_k=20,
+            base_url=self.base_url,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreaterEqual(metrics["score"], ACC_THRESHOLDS[self.model]["gsm8k"])
+
+
 if __name__ == "__main__":
     unittest.main()