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[CP]Glm45 air 2.2 (#4073)
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Browse Source 
* [Feature] Support zai-org/GLM-4.5-Air BF16 model (#3928)

* support glm45_air

* [Feature] GLM-45-AIR Support Mix Quantization(Dense wfp8afp8 and wint8 triton_moe_backend) (#4051)

* check

* fix v1 load for mix and wint8

* check --quantizations 'None'

* check

* support RL rollout

* check v1 loader

* check glm rollout_model, change wfp8afp8 per_token_cast_to_fp8 to native impl

* check rollout moe gate begin layer_id

* check rollout e_score_correction_bias

* delete infer_to_train_mapping={}

* code check
This commit is contained in:
chen
2025-09-15 18:52:58 +08:00
committed by GitHub
parent 4e8ba62241
commit fbb4e0f8d1
25 changed files with 1505 additions and 170 deletions
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6
fastdeploy/model_executor/layers/quantization/mix_quant.py
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@@ -76,13 +76,13 @@ class MixQuantConfig(QuantConfigBase):
if layer.moe_tag == "Image":
return (
get_quantization_config(self.image_moe_quant_type)
.from_config({"is_permuted": self.is_permuted, "self.is_checkpoint_bf16": self.is_checkpoint_bf16})
.from_config({"is_permuted": self.is_permuted, "is_checkpoint_bf16": self.is_checkpoint_bf16})
.get_quant_method(layer)
)
else:
return (
get_quantization_config(self.moe_quant_type)
.from_config({"is_permuted": self.is_permuted, "self.is_checkpoint_bf16": self.is_checkpoint_bf16})
.from_config({"is_permuted": self.is_permuted, "is_checkpoint_bf16": self.is_checkpoint_bf16})
.get_quant_method(layer)
)
elif isinstance(layer, Attention):
@@ -97,6 +97,6 @@ class MixQuantConfig(QuantConfigBase):
else:
return (
get_quantization_config(self.dense_quant_type)
.from_config({"self.is_checkpoint_bf16": self.is_checkpoint_bf16})
.from_config({"is_checkpoint_bf16": self.is_checkpoint_bf16})
.get_quant_method(layer)
)