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[Feature] Add an unquantized option for MoE and Dense quant type (#4813)

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This commit is contained in:
Sunny-bot1
2025-11-19 16:24:03 +08:00
committed by GitHub
parent 9ff418db73
commit 43f0c7557e
3 changed files with 48 additions and 34 deletions
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fastdeploy/model_executor/layers/quantization/mix_quant.py
+36 -27
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@@ -66,8 +66,8 @@ class MixQuantConfig(QuantConfigBase):
@classmethod
def from_config(cls, config: dict) -> "MixQuantConfig":
return cls(
config["dense_quant_type"],
config["moe_quant_type"],
config.get("dense_quant_type", None),
config.get("moe_quant_type", None),
config.get("kv_cache_quant_type", None),
config.get("image_moe_quant_type", None),
config.get("is_channel_wise", False),
@@ -81,29 +81,35 @@ class MixQuantConfig(QuantConfigBase):
def get_quant_method(self, layer) -> Optional[QuantMethodBase]:
if isinstance(layer, FusedMoE):
if layer.moe_tag == "Image":
return (
get_quantization_config(self.image_moe_quant_type)
.from_config(
{
"is_permuted": self.is_permuted,
"is_quantized": not self.is_checkpoint_bf16,
"hadamard_block_size": self.hadamard_block_size,
}
if self.image_moe_quant_type is not None:
return (
get_quantization_config(self.image_moe_quant_type)
.from_config(
{
"is_permuted": self.is_permuted,
"is_quantized": not self.is_checkpoint_bf16,
"hadamard_block_size": self.hadamard_block_size,
}
)
.get_quant_method(layer)
)
.get_quant_method(layer)
)
else:
return None
else:
return (
get_quantization_config(self.moe_quant_type)
.from_config(
{
"is_permuted": self.is_permuted,
"is_quantized": not self.is_checkpoint_bf16,
"hadamard_block_size": self.hadamard_block_size,
}
if self.moe_quant_type is not None:
return (
get_quantization_config(self.moe_quant_type)
.from_config(
{
"is_permuted": self.is_permuted,
"is_quantized": not self.is_checkpoint_bf16,
"hadamard_block_size": self.hadamard_block_size,
}
)
.get_quant_method(layer)
)
.get_quant_method(layer)
)
else:
return None
elif isinstance(layer, Attention):
if self.kv_cache_quant_type is not None:
return (
@@ -114,8 +120,11 @@ class MixQuantConfig(QuantConfigBase):
else:
return None
else:
return (
get_quantization_config(self.dense_quant_type)
.from_config({"is_quantized": not self.is_checkpoint_bf16})
.get_quant_method(layer)
)
if self.dense_quant_type is not None:
return (
get_quantization_config(self.dense_quant_type)
.from_config({"is_quantized": not self.is_checkpoint_bf16})
.get_quant_method(layer)
)
else:
return None