[Feature] Add Muse Glimmer model support (#34262)

Co-authored-by: sglang-bot <232288953+sglang-bot@users.noreply.github.com> Co-authored-by: Brayden Zhong <brayden.zhong@radixark.ai> Co-authored-by: Jimmy Shong <69131491+Jiminator@users.noreply.github.com> Co-authored-by: hnyls2002 <lsyincs@gmail.com> Co-authored-by: Alex Nails <alex.nails@radixark.ai> Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
2026-08-11 15:41:52 -07:00
parent 9c1517df4a
commit fde9ad2531
47 changed files with 5009 additions and 50 deletions
@@ -0,0 +1,94 @@
+import unittest
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+register_cuda_ci(est_time=900, stage="nightly", runner_config="1-gpu-large")
+
+TARGET_MODEL = "meta-models/Muse-Glimmer-30B"
+DRAFT_MODEL = "meta-models/Muse-Glimmer-30B-assistant"
+
+
+class TestMuseGlimmerDflashAssistantGSM8K(CustomTestCase, GSM8KMixin):
+    """GSM8K + DFlash accept-length regression test for the native
+    MuseGlimmerAssistantModel draft (``meta-models/Muse-Glimmer-30B-assistant``).
+
+    This checkpoint loads through sglang's own native ``models/dflash.py`` /
+    ``configs/muse_glimmer.py::MuseGlimmerAssistantConfig`` with no extra wheel
+    dependency. Integrating it surfaced two bugs that fail *silently*, never raise, and do not move
+    GSM8K accuracy at temperature 0 (speculative decoding always falls back
+    to the target's own correct token on a draft miss, so a broken draft
+    still produces exactly the target's answers -- just slower):
+
+    1. The vendor's weight names (``encoder.fc.weight`` /
+       ``encoder.output_norm_enc.weight``) didn't match what
+       ``DFlashDraftModel.load_weights`` expected (``fc.weight`` /
+       ``hidden_norm.weight``), so those two tensors silently stayed at
+       random init.
+    2. The vendor's ``target_layer_ids`` are in the HF "output of layer k"
+       convention; ``models/muse_glimmer.py::set_dflash_layers_to_capture``
+       uses ids as-is (Muse Glimmer's own draft configs carry llama.cpp's
+       layer-*input* convention), so every captured layer was off by one.
+
+    Both together collapsed real (non-simulated) accept_length to ~1.00 at
+    ``--speculative-dflash-block-size 5`` -- effectively no speculation, only
+    the mandatory bonus token -- with GSM8K accuracy unaffected throughout.
+    ``gsm8k_accept_length_thres`` is therefore the actual regression guard
+    here; the accuracy threshold alone would not have caught this.
+
+    Measured after both fixes, same block size, same target: median
+    accept_length 3.12 (this draft) vs 3.09 (our own GGUF-converted draft,
+    the previous ground truth) across batch sizes 1/4/8 at 512in/256out --
+    statistically indistinguishable. 2.5 leaves headroom below that for
+    workload variance while sitting well above the ~1.0 broken-state value.
+    """
+
+    model = TARGET_MODEL
+    gsm8k_backend = (
+        "sgl_eval"  # chat completions API, not /generate or raw /completions
+    )
+    gsm8k_score_threshold = 0.85
+    gsm8k_num_examples = 200
+    gsm8k_accept_length_thres = 2.5
+
+    @classmethod
+    def setUpClass(cls):
+        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=[
+                "--reasoning-parser",
+                "muse",
+                "--tool-call-parser",
+                "muse",
+                "--language-model-only",
+                "--speculative-algorithm",
+                "DFLASH",
+                "--speculative-draft-model-path",
+                DRAFT_MODEL,
+                "--speculative-draft-load-format",
+                "auto",
+                "--speculative-dflash-block-size",
+                "5",
+                "--mem-fraction-static",
+                "0.85",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process") and cls.process:
+            kill_process_tree(cls.process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()