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add support and optimization for minicpmo vision part (#12713)

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Yishuo Wang 2025-01-16 14:51:00 +08:00 committed by GitHub
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python/llm/src/ipex_llm/transformers/convert.py
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@ -1028,6 +1028,15 @@ def _optimize_pre(model, qtype=None):
model.llm.config.model_type = "minicpm"
_optimize_pre(model.llm, qtype=qtype)
model.llm.config.model_type = "minicpmv"
elif model.config.model_type == "minicpmo":
# vpm opt
from ipex_llm.transformers.models.minicpmv import merge_qkv
model.vpm.apply(merge_qkv)
# llm opt
model.llm.config.model_type = "qwen2"
_optimize_pre(model.llm, qtype=qtype)
model.llm.config.model_type = "minicpmo"
elif model.config.model_type == "megrezo":
from ipex_llm.transformers.models.minicpmv import merge_qkv
model.vision.apply(merge_qkv)
@ -1944,6 +1953,18 @@ def _optimize_post(model):
convert_forward(model.vpm, vpm_module.Idefics2VisionAttention, siglip_attention_forward)
minicpmv_chat = minicpmv_chat_wrapper(module.MiniCPMV.chat)
model.chat = MethodType(minicpmv_chat, model)
elif model.config.model_type == "minicpmo":
# vpm opt
vpm_modeling_module_name = model.vpm.__class__.__module__
vpm_module = importlib.import_module(vpm_modeling_module_name)
from ipex_llm.transformers.models.minicpmv import siglip_attention_forward
convert_forward(model.vpm, vpm_module.SiglipAttention, siglip_attention_forward)
# llm opt
model.llm.config.model_type = "qwen2"
_optimize_post(model.llm)
model.llm.config.model_type = "minicpmo"
elif model.config.model_type == "megrezo":
modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name)