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Update model_loader deps and qqq quantization deps (#2220) (#2318)

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Co-authored-by: HandH1998 <1335248067@qq.com>
This commit is contained in:
Yineng Zhang
2024-12-02 23:22:13 +08:00
committed by GitHub
parent 33deca81b5
commit 85e1a6f3aa
58 changed files with 2363 additions and 366 deletions
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9
python/sglang/srt/models/phi3_small.py
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@@ -7,8 +7,6 @@ from transformers import Phi3Config
from transformers.configuration_utils import PretrainedConfig
from vllm.distributed import get_tensor_model_parallel_world_size
from vllm.model_executor.layers.rotary_embedding import get_rope
from vllm.model_executor.model_loader.weight_utils import default_weight_loader
from vllm.model_executor.models.utils import make_layers
from sglang.srt.layers.linear import (
MergedColumnParallelLinear,
@@ -27,6 +25,8 @@ from sglang.srt.layers.vocab_parallel_embedding import (
)
from sglang.srt.managers.schedule_batch import global_server_args_dict
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader
from sglang.srt.utils import make_layers
@torch.jit.script
@@ -235,7 +235,6 @@ class Phi3SmallDecoderLayer(nn.Module):
self,
config: PretrainedConfig,
layer_id: int,
cache_config=None,
quant_config: Optional[QuantizationConfig] = None,
):
super().__init__()
@@ -286,7 +285,6 @@ class Phi3SmallModel(nn.Module):
super().__init__()
self.config = config
cache_config = None
self.embed_tokens = VocabParallelEmbedding(
config.vocab_size, config.hidden_size
)
@@ -294,7 +292,7 @@ class Phi3SmallModel(nn.Module):
self.start_layer, self.end_layer, self.layers = make_layers(
config.num_hidden_layers,
lambda prefix: Phi3SmallDecoderLayer(
config, int(prefix.split(".")[-1]), cache_config, quant_config
config, int(prefix.split(".")[-1]), quant_config
),
prefix=f"{prefix}.layers",
)
@@ -339,7 +337,6 @@ class Phi3SmallForCausalLM(nn.Module):
self,
config: Phi3Config,
quant_config: Optional[QuantizationConfig] = None,
cache_config=None,
):
super().__init__()