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beta support for multipack with gemmoe: (#1402)
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"""multipack patching for v2 of sample packing"""
import importlib
import transformers
from accelerate import init_empty_weights
from transformers import AutoConfig, AutoModelForCausalLM
from transformers.integrations import is_deepspeed_zero3_enabled
from axolotl.monkeypatch.mixtral import patch_mixtral_moe_forward_zero3
from axolotl.monkeypatch.utils import get_unpad_data
SUPPORTED_MULTIPACK_MODEL_TYPES = [
"mixtral",
"qwen2",
"falcon",
"phi",
"gemma",
"gemmoe",
"starcoder2",
]
def patch_for_multipack(model_type, model_name=None):
if model_type == "mixtral":
transformers.models.mixtral.modeling_mixtral._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
if is_deepspeed_zero3_enabled():
patch_mixtral_moe_forward_zero3()
elif model_type == "qwen2":
transformers.models.qwen2.modeling_qwen2._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
elif model_type == "falcon":
transformers.models.falcon.modeling_falcon._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
elif model_type == "phi":
transformers.models.phi.modeling_phi._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
elif model_type == "gemma":
transformers.models.gemma.modeling_gemma._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
elif model_type == "starcoder2":
transformers.models.starcoder2.modeling_starcoder2._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
elif model_type == "gemmoe":
model_config = AutoConfig.from_pretrained(model_name, trust_remote_code=True)
# we need to load the model here in order for modeling_gemmoe to be available
with init_empty_weights():
AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
module_name = model_config.__class__.__module__.replace(
".configuration_gemmoe", ".modeling_gemmoe"
)
modeling_gemmoe = importlib.import_module(module_name)
modeling_gemmoe._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)