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LLM: support optimize_model=True for Mixtral model (#9657)

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binbin Deng 2023-12-12 16:41:26 +08:00 committed by GitHub
parent 017932a7fb
commit 59ce86d292
1 changed files with 29 additions and 7 deletions
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22
python/llm/src/bigdl/llm/transformers/convert.py
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@ -605,7 +605,29 @@ def _optimize_post(model, lightweight_bmm=False):
convert_forward(model, convert_forward(model,
module.AquilaRMSNorm, module.AquilaRMSNorm,
llama_rms_norm_forward) llama_rms_norm_forward)
elif model.config.model_type == "mixtral":
# For mistralai/Mixtral-8x7B-v0.1
invalidInputError(version.parse(trans_version) >= version.parse("4.36.0"),
"Please upgrade transformers to 4.36.0 or higher version "
"to run Mixtral models.")
modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name)
convert_forward(model,
module.MixtralRMSNorm,
llama_rms_norm_forward)
elif model.config.model_type == "mistral": elif model.config.model_type == "mistral":
if model.config.architectures is not None and \
model.config.architectures[0] == "MixtralForCausalLM":
# For DiscoResearch/mixtral-7b-8expert
invalidInputError(version.parse(trans_version) >= version.parse("4.36.0"),
"Please upgrade transformers to 4.36.0 or higher version "
"to run Mixtral models.")
modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name)
convert_forward(model,
module.MistralRMSNorm,
llama_rms_norm_forward)
else:
modeling_module_name = model.__class__.__module__ modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name) module = importlib.import_module(modeling_module_name)
from bigdl.llm.transformers.models.mistral import mistral_attention_forward from bigdl.llm.transformers.models.mistral import mistral_attention_forward