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[Model] Add FP8 kv cache for Qwen2 (#5656)

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Michael Goin 2024-06-19 05:38:26 -04:00 committed by GitHub
parent 3eea74889f
commit da971ec7a5
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vllm/model_executor/models/qwen2.py
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@ -46,6 +46,7 @@ from vllm.model_executor.layers.vocab_parallel_embedding import (
from vllm.model_executor.model_loader.weight_utils import default_weight_loader from vllm.model_executor.model_loader.weight_utils import default_weight_loader
from vllm.model_executor.sampling_metadata import SamplingMetadata from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.sequence import SamplerOutput from vllm.sequence import SamplerOutput
from vllm.utils import print_warning_once
class Qwen2MLP(nn.Module): class Qwen2MLP(nn.Module):
@ -375,6 +376,19 @@ class Qwen2ForCausalLM(nn.Module):
# Skip loading extra bias for GPTQ models. # Skip loading extra bias for GPTQ models.
if name.endswith(".bias") and name not in params_dict: if name.endswith(".bias") and name not in params_dict:
continue continue
# Remapping the name of FP8 kv-scale.
if name.endswith("kv_scale"):
remapped_kv_scale_name = name.replace(
".kv_scale", ".attn.kv_scale")
if remapped_kv_scale_name not in params_dict:
print_warning_once(
f"Found kv scale in the checkpoint (e.g. {name}), "
"but not found the expected name in the model "
f"(e.g. {remapped_kv_scale_name}). kv-scale is "
"not loaded.")
continue
else:
name = remapped_kv_scale_name
param = params_dict[name] param = params_dict[name]
weight_loader = getattr(param, "weight_loader", weight_loader = getattr(param, "weight_loader",
default_weight_loader) default_weight_loader)