[Fix] FP8 Qwen3-Next quant error by removing fallback fused shards (#23973)
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@@ -60,8 +60,6 @@ def _module_path_match(ignored: str, prefix: str) -> bool:
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_FALLBACK_FUSED_SHARDS: Mapping[str, List[str]] = {
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"qkv_proj": ["q_proj", "k_proj", "v_proj"],
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"gate_up_proj": ["gate_proj", "up_proj"],
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"in_proj_ba": ["in_proj_b", "in_proj_a"],
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"in_proj_qkvz": ["in_proj_qkv", "in_proj_z"],
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}
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@@ -0,0 +1,52 @@
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import unittest
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from sglang.srt.layers.quantization.utils import is_layer_skipped
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from sglang.test.ci.ci_register import register_cpu_ci
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from sglang.test.test_utils import CustomTestCase
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register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
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# Qwen3-Next FP8 actually publishes the equivalent of this in
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# packed_modules_mapping (qwen3_next.py:908-911). in_proj_ba / in_proj_qkvz
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# are deliberately omitted because they are real, unified tensors.
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QWEN3_NEXT_FUSED_MAPPING = {
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"qkv_proj": ["q_proj", "k_proj", "v_proj"],
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"gate_up_proj": ["gate_proj", "up_proj"],
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}
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def _qwen3_next_ignored_layers(layer_idx: int, name: str) -> list:
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# Mirrors the normalization in Fp8Config.from_config: each entry is kept in
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# both "model.<...>" and bare "<...>" forms.
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base = f"layers.{layer_idx}.linear_attn.{name}"
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return [base, f"model.{base}"]
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class TestIsLayerSkipped(CustomTestCase):
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def test_qwen3_next_in_proj_ba_is_skipped(self):
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# Regression for #23467: in_proj_ba is a unified tensor in the FP8
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# checkpoint. modules_to_not_convert lists it explicitly, so it must
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# bypass FP8 quantization (otherwise validate_block_quant_shapes raises
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# on output_partition_size=8 vs block_n=128 at tp=4).
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prefix = "model.layers.0.linear_attn.in_proj_ba"
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ignored = _qwen3_next_ignored_layers(0, "in_proj_ba")
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self.assertTrue(is_layer_skipped(prefix, ignored, QWEN3_NEXT_FUSED_MAPPING))
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def test_qwen3_next_in_proj_qkvz_is_skipped(self):
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prefix = "model.layers.5.linear_attn.in_proj_qkvz"
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ignored = _qwen3_next_ignored_layers(5, "in_proj_qkvz")
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self.assertTrue(is_layer_skipped(prefix, ignored, QWEN3_NEXT_FUSED_MAPPING))
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def test_mlp_gate_does_not_match_gate_up_proj(self):
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# The motivation for #23467: an entry "mlp.gate" in
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# modules_to_not_convert must NOT skip a sibling "mlp.gate_up_proj".
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ignored = ["mlp.gate"]
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self.assertFalse(
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is_layer_skipped("model.layers.0.mlp.gate_up_proj", ignored, {})
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)
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self.assertTrue(is_layer_skipped("model.layers.0.mlp.gate", ignored, {}))
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if __name__ == "__main__":
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unittest.main()
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