fix some of the edge cases for Jamba (#1452)

* fix some of the edge cases for Jamba

* update requirements for jamba
This commit is contained in:
Wing Lian
2024-03-29 02:38:02 -04:00
committed by GitHub
parent e634118f90
commit 05b398a072
8 changed files with 92 additions and 17 deletions

View File

@@ -48,14 +48,16 @@ def patch_for_multipack(model_type, model_name=None):
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
)
patch_remote(model_name, ".configuration_gemmoe", ".modeling_gemmoe")
elif model_type == "jamba":
patch_remote(model_name, ".configuration_jamba", ".modeling_jamba")
def patch_remote(model_name, config_name, modeling_name):
model_config = AutoConfig.from_pretrained(model_name, trust_remote_code=True)
# we need to load the model here in order for modeling_* to be available
with init_empty_weights():
AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
module_name = model_config.__class__.__module__.replace(config_name, modeling_name)
modeling_arch = importlib.import_module(module_name)
modeling_arch._get_unpad_data = get_unpad_data # pylint: disable=protected-access