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sglang/test/registered/models_e2e/test_qwen3_next_models_mtp.py
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Python

import os
import unittest
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
from sglang.test.kits.kl_divergence_kit import KLDivergenceMixin
from sglang.test.kits.prefix_cache_branching_kit import PrefixCacheBranchingMixin
from sglang.test.server_fixtures.default_fixture import DefaultServerBase
register_cuda_ci(est_time=290, stage="base-c", runner_config="4-gpu-h100")
QWEN3_NEXT_MODEL = "Qwen/Qwen3-Next-80B-A3B-Instruct"
def _mtp_args(*, strategy, steps, topk, draft_tokens, track_interval):
return [
"--trust-remote-code",
"--speculative-algorithm",
"NEXTN",
"--speculative-num-steps",
str(steps),
"--speculative-eagle-topk",
str(topk),
"--speculative-num-draft-tokens",
str(draft_tokens),
"--mem-fraction-static",
"0.8",
"--tp",
"4",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
strategy,
"--mamba-track-interval",
str(track_interval),
]
class TestQwen3NextMTPTopk(
GSM8KMixin, KLDivergenceMixin, PrefixCacheBranchingMixin, DefaultServerBase
):
# topk > 1 (tree) MTP on a hybrid-GDN model, on spec v2: the tree-aware mamba
# state update lives in the spec v2 verify path, so mamba + topk > 1 no longer
# falls back to spec v1.
model = QWEN3_NEXT_MODEL
cache_chunk_size = 64
gsm8k_accuracy_thres = 0.93
kl_div_thres = 0.008
other_args = [
"--trust-remote-code",
"--speculative-algorithm",
"NEXTN",
"--speculative-num-steps",
"5",
"--speculative-eagle-topk",
"4",
"--speculative-num-draft-tokens",
"8",
"--mem-fraction-static",
"0.8",
"--tp",
"4",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
"extra_buffer",
"--mamba-track-interval",
"128",
]
@unittest.skip(
"Manual-only: topk == 1 is covered by TestQwen3NextMTPLazyV2 and extra_buffer "
"by TestQwen3NextMTPTopk. Kept runnable locally for the plain (topk=1, "
"extra_buffer) baseline."
)
class TestQwen3NextMTPV2(GSM8KMixin, KLDivergenceMixin, DefaultServerBase):
model = QWEN3_NEXT_MODEL
gsm8k_accuracy_thres = 0.93
kl_div_thres = 0.0035
other_args = [
"--trust-remote-code",
"--speculative-algorithm",
"NEXTN",
"--speculative-num-steps",
"3",
"--speculative-eagle-topk",
"1",
"--speculative-num-draft-tokens",
"4",
"--mem-fraction-static",
"0.8",
"--tp",
"4",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
"extra_buffer",
"--mamba-track-interval",
"128",
]
class TestQwen3NextMTPLazyV2(
GSM8KMixin, KLDivergenceMixin, PrefixCacheBranchingMixin, DefaultServerBase
):
# extra_buffer_lazy + MTP: the pending-slot track plan
# (mamba_lazy_spec_prepare / _mamba_lazy_spec_confirm_crossing) replaces
# the per-req second ping-pong slot. Branching mixin exercises donation
# of lazily tracked states.
model = QWEN3_NEXT_MODEL
cache_chunk_size = 64
gsm8k_accuracy_thres = 0.93
kl_div_thres = 0.0035
other_args = _mtp_args(
strategy="extra_buffer_lazy",
steps=3,
topk=1,
draft_tokens=4,
track_interval=128,
)
@unittest.skip("Manual-only: forces all lazy spec preallocs to fail")
class TestQwen3NextMTPLazyAllocFail(GSM8KMixin, KLDivergenceMixin, DefaultServerBase):
# Small track interval (= draft tokens) maximizes boundary crossings;
# forced alloc failure exercises the in-place fallback and the
# finished-req skip-insert path on every crossing.
model = QWEN3_NEXT_MODEL
cache_chunk_size = 64
gsm8k_accuracy_thres = 0.93
kl_div_thres = 0.0035
other_args = _mtp_args(
strategy="extra_buffer_lazy",
steps=3,
topk=1,
draft_tokens=4,
track_interval=4,
)
@classmethod
def setUpClass(cls):
os.environ["SGLANG_TEST_MAMBA_LAZY_ALLOC_FAIL"] = "1"
os.environ["SGLANG_TEST_SKIP_CACHE_HIT_ASSERT"] = "1"
super().setUpClass()
@classmethod
def tearDownClass(cls):
super().tearDownClass()
os.environ.pop("SGLANG_TEST_MAMBA_LAZY_ALLOC_FAIL", None)
os.environ.pop("SGLANG_TEST_SKIP_CACHE_HIT_ASSERT", None)
if __name__ == "__main__":
unittest.main()