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[Bugfix] Fix TeleChat2ForCausalLM weights mapper #11546

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merged 1 commit into from
Dec 27, 2024
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[Bugfix] Fix TeleChat2ForCausalLM weights mapper #11546

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26 changes: 13 additions & 13 deletions vllm/model_executor/models/telechat2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,19 +31,6 @@

class TeleChat2Model(LlamaModel):

hf_to_vllm_mapper = WeightsMapper(
orig_to_new_prefix={
"transformer.": "model.",
},
orig_to_new_substr={
".h.": ".layers.",
".self_attention.": ".self_attn.",
".word_embeddings.": ".embed_tokens.",
".dense.": ".o_proj.",
".ln_f.": ".norm.",
},
)

def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
# 1. Initialize the LlamaModel with bias
vllm_config.model_config.hf_config.bias = True
Expand Down Expand Up @@ -118,6 +105,19 @@ def load_weights(self, weights: Iterable[Tuple[str,

class TeleChat2ForCausalLM(LlamaForCausalLM):

hf_to_vllm_mapper = WeightsMapper(
orig_to_new_prefix={
"transformer.": "model.",
},
orig_to_new_substr={
".h.": ".layers.",
".self_attention.": ".self_attn.",
".word_embeddings.": ".embed_tokens.",
".dense.": ".o_proj.",
".ln_f.": ".norm.",
},
)

def _init_model(self, vllm_config: VllmConfig, prefix: str = ""):
return TeleChat2Model(vllm_config=vllm_config, prefix=prefix)

Expand Down
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