Update ci test and doc for MTP api change (#5952)

docs/references/deepseek.md

@@ -153,12 +153,10 @@ The precompilation process typically takes around 10 minutes to complete.
 **Description**: SGLang implements DeepSeek V3 Multi-Token Prediction (MTP) based on [EAGLE speculative decoding](https://docs.sglang.ai/backend/speculative_decoding.html#EAGLE-Decoding). With this optimization, the decoding speed can be improved by **1.8x** for batch size 1 and **1.5x** for batch size 32 respectively on H200 TP8 setting.
 
 **Usage**:
-Add arguments `--speculative-algorithm`, `--speculative-draft-model-path`,
-`--speculative-num-steps`, `--speculative-eagle-topk` and `--speculative-num-draft-tokens` to enable this feature. For example:
+Add arguments `--speculative-algorithm`, `--speculative-num-steps`, `--speculative-eagle-topk` and `--speculative-num-draft-tokens` to enable this feature. For example:
 ```
-python3 -m sglang.launch_server --model-path deepseek-ai/DeepSeek-V3-0324 --speculative-algorithm EAGLE --speculative-draft-model-path lmsys/DeepSeek-V3-0324-NextN --speculative-num-steps 1 --speculative-eagle-topk 1 --speculative-num-draft-tokens 2 --trust-remote-code --tp 8
+python3 -m sglang.launch_server --model-path deepseek-ai/DeepSeek-V3-0324 --speculative-algorithm EAGLE --speculative-num-steps 1 --speculative-eagle-topk 1 --speculative-num-draft-tokens 2 --trust-remote-code --tp 8
 ```
-- The draft model are available at huggingface: [lmsys/DeepSeek-V3-0324-NextN](https://huggingface.co/lmsys/DeepSeek-V3-0324-NextN), [lmsys/DeepSeek-R1-NextN](https://huggingface.co/lmsys/DeepSeek-R1-NextN). It can also be exported from original DeepSeek-V3/R1 model with [export_deepseek_nextn.py](https://github.com/sgl-project/sglang/blob/main/scripts/export_deepseek_nextn.py) script.
 - The best configuration for `--speculative-num-steps`, `--speculative-eagle-topk` and `--speculative-num-draft-tokens` can be searched with [bench_speculative.py](https://github.com/sgl-project/sglang/blob/main/scripts/playground/bench_speculative.py) script for given batch size. The minimum configuration is `--speculative-num-steps 1 --speculative-eagle-topk 1 --speculative-num-draft-tokens 2`, which can achieve speedup for larger batch sizes.
 When using FlashInfer MLA wrapper (`--attention-backend flashinfer`) with speculative decoding, set the `--speculative-eagle-topk` parameter to `1`. The FlashAttention 3 backend also only supports `--speculative-eagle-topk 1`.
 - To enable DeepSeek MTP for large batch sizes (>32), there are some parameters should be changed (Reference [this discussion](https://github.com/sgl-project/sglang/issues/4543#issuecomment-2737413756)):

python/sglang/srt/server_args.py

@@ -347,10 +347,13 @@ class ServerArgs:
             model_arch = get_model_arch(self)
 
             # Auto set draft_model_path DeepSeek-V3/R1
-            if self.speculative_draft_model_path is None and model_arch in [
-                "DeepseekV3ForCausalLM"
-            ]:
-                self.speculative_draft_model_path = self.model_path
+            if model_arch == "DeepseekV3ForCausalLM":
+                if self.speculative_draft_model_path is None:
+                    self.speculative_draft_model_path = self.model_path
+                else:
+                    logger.warning(
+                        "DeepSeek MTP does not require setting speculative_draft_model_path."
+                    )
 
             # Auto choose parameters
             if self.speculative_num_steps is None:

test/srt/test_full_deepseek_v3.py

@@ -80,8 +80,6 @@ class TestDeepseekV3MTP(CustomTestCase):
             "--trust-remote-code",
             "--speculative-algorithm",
             "EAGLE",
-            "--speculative-draft",
-            "lmsys/DeepSeek-V3-0324-NextN",
             "--speculative-num-steps",
             "3",
             "--speculative-eagle-topk",

test/srt/test_mla_deepseek_v3.py

@@ -50,6 +50,63 @@ class TestMLADeepseekV3(CustomTestCase):
 
 
 class TestDeepseekV3MTP(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "lmsys/sglang-ci-dsv3-test"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        other_args = [
+            "--trust-remote-code",
+            "--cuda-graph-max-bs",
+            "2",
+            "--disable-radix",
+            "--enable-torch-compile",
+            "--torch-compile-max-bs",
+            "1",
+            "--speculative-algorithm",
+            "EAGLE",
+            "--speculative-num-steps",
+            "2",
+            "--speculative-eagle-topk",
+            "4",
+            "--speculative-num-draft-tokens",
+            "4",
+        ]
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        requests.get(self.base_url + "/flush_cache")
+
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.60)
+
+        server_info = requests.get(self.base_url + "/get_server_info")
+        avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
+        print(f"{avg_spec_accept_length=}")
+        self.assertGreater(avg_spec_accept_length, 2.5)
+
+
+# compatible with old APIs
+class TestDeepseekV3MTPWithDraft(CustomTestCase):
     @classmethod
     def setUpClass(cls):
         cls.model = "lmsys/sglang-ci-dsv3-test"

test/srt/test_mla_flashinfer.py

@@ -118,8 +118,6 @@ class TestFlashinferMLAMTP(CustomTestCase):
                     "1",
                     "--speculative-algorithm",
                     "EAGLE",
-                    "--speculative-draft",
-                    "lmsys/sglang-ci-dsv3-test-NextN",
                     "--speculative-num-steps",
                     "3",
                     "--speculative-eagle-topk",

test/srt/test_mla_int8_deepseek_v3.py

@@ -162,8 +162,6 @@ class TestDeepseekV3MTPBlockInt8(CustomTestCase):
                     "1",
                     "--speculative-algorithm",
                     "EAGLE",
-                    "--speculative-draft",
-                    "sgl-project/sglang-ci-dsv3-block-int8-test-NextN",
                     "--speculative-num-steps",
                     "2",
                     "--speculative-eagle-topk",