5fc5ce0fe4
Signed-off-by: Isotr0py <2037008807@qq.com> Co-authored-by: Isotr0py <2037008807@qq.com> Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk>
22 lines
941 B
Python
22 lines
941 B
Python
"""Inference-only HF format GLM-4 model compatible with THUDM weights."""
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from vllm.config import VllmConfig
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from vllm.model_executor.models.llama import LlamaForCausalLM
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from .utils import PPMissingLayer
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class GlmForCausalLM(LlamaForCausalLM):
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def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
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super().__init__(vllm_config=vllm_config, prefix=prefix)
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# Hack Llama model to fit HF format GLM implementation
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# Attention difference between GLM and Llama:
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# 1. Half partial rotary_dim and no Neox style.
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# 2. There is no bias for o_proj in attention
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for layer in self.model.layers:
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if not isinstance(layer, PPMissingLayer):
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layer.self_attn.rotary_emb.rotary_dim //= 2
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layer.self_attn.rotary_emb.is_neox_style = False
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layer.self_attn.o_proj.bias = None
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layer.self_attn.o_proj.skip_bias_add = True
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