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feat: add load_from_weight_dict interface #318

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feat: add load_from_weight_dict interface #318

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13 changes: 11 additions & 2 deletions lightllm/common/basemodel/basemodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,14 @@ def _verify_params(self):
assert self.load_way == "HF", "only support HF format weights"
assert self.config["num_key_value_heads"] % self.world_size_ == 0
return

def load_weights_from_dict(self, weight_dict):
load_hf_weights(
"fp16",
weight_dir=self.weight_dir_,
pre_post_layer=self.pre_post_weight,
transformer_layer_list=self.trans_layers_weight,
weight_dict=weight_dict)

def _init_weights(self):
self.pre_post_weight = self.pre_and_post_weight_class(self.tp_rank_, self.world_size_, torch.float16, network_config=self.config, mode=self.mode)
Expand All @@ -88,8 +96,9 @@ def _init_weights(self):
pre_post_layer=self.pre_post_weight,
transformer_layer_list=self.trans_layers_weight,
weight_dict=self.weight_dict)
self.pre_post_weight.verify_load()
[weight.verify_load() for weight in self.trans_layers_weight]
if not self.weight_dict == {}:
self.pre_post_weight.verify_load()
[weight.verify_load() for weight in self.trans_layers_weight]
return

def _init_mem_manager(self):
Expand Down
5 changes: 3 additions & 2 deletions lightllm/models/llama/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,8 +95,9 @@ def _init_weights(self):
weight_dict=self.weight_dict,
prefix='model.layers.',
num_layer=self.config["n_layer"])
self.pre_post_weight.verify_load()
[weight.verify_load() for weight in self.trans_layers_weight]
if not self.weight_dict == {}:
self.pre_post_weight.verify_load()
[weight.verify_load() for weight in self.trans_layers_weight]
return

def _init_to_get_rotary(self, default_base=10000):
Expand Down