test_qwen3_next_models.py 3.79 KB
Newer Older
Yi Zhang's avatar
Yi Zhang committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
import unittest
from types import SimpleNamespace

from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval
from sglang.test.test_utils import (
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)


class TestQwen3Next(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--tp-size",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_gsm8k(self):
        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(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["accuracy"], 0.93)


class TestQwen3NextMTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--speculative-algorithm",
                "NEXTN",
                "--speculative-num-steps",
62
                "3",
Yi Zhang's avatar
Yi Zhang committed
63
64
65
                "--speculative-eagle-topk",
                "1",
                "--speculative-num-draft-tokens",
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
                "4",
                "--mem-fraction-static",
                "0.8",
                "--tp",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_gsm8k(self):
        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(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["accuracy"], 0.93)


class TestQwen3NextMTPTopk(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--speculative-algorithm",
                "NEXTN",
                "--speculative-num-steps",
                "5",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "8",
Yi Zhang's avatar
Yi Zhang committed
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
                "--mem-fraction-static",
                "0.8",
                "--tp",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_gsm8k(self):
        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(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["accuracy"], 0.93)


if __name__ == "__main__":
    unittest.main()