x54-729 commited on
Commit
53d4840
1 Parent(s): c8f2f99

Support dynamic ntk rope

Browse files
Files changed (1) hide show
  1. configuration_internlm.py +8 -7
configuration_internlm.py CHANGED
@@ -19,9 +19,8 @@
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  # limitations under the License.
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  """ InternLM model configuration"""
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- from transformers.utils import logging
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  from transformers.configuration_utils import PretrainedConfig
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-
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  logger = logging.get_logger(__name__)
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@@ -30,9 +29,9 @@ INTERNLM_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
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  class InternLMConfig(PretrainedConfig):
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  r"""
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- This is the configuration class to store the configuration of a [`InternLMModel`]. It is used to instantiate an InternLM
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- model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
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- defaults will yield a similar configuration to that of the InternLM-7B.
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  Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
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  documentation from [`PretrainedConfig`] for more information.
@@ -81,7 +80,7 @@ class InternLMConfig(PretrainedConfig):
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  model_type = "internlm"
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  _auto_class = "AutoConfig"
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- def __init__(
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  self,
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  vocab_size=103168,
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  hidden_size=4096,
@@ -98,6 +97,7 @@ class InternLMConfig(PretrainedConfig):
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  eos_token_id=2,
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  tie_word_embeddings=False,
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  bias=True,
 
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  **kwargs,
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  ):
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  self.vocab_size = vocab_size
@@ -111,10 +111,11 @@ class InternLMConfig(PretrainedConfig):
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  self.rms_norm_eps = rms_norm_eps
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  self.use_cache = use_cache
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  self.bias = bias
 
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  super().__init__(
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  pad_token_id=pad_token_id,
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  bos_token_id=bos_token_id,
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  eos_token_id=eos_token_id,
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  tie_word_embeddings=tie_word_embeddings,
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  **kwargs,
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- )
 
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  # limitations under the License.
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  """ InternLM model configuration"""
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  from transformers.configuration_utils import PretrainedConfig
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+ from transformers.utils import logging
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  logger = logging.get_logger(__name__)
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  class InternLMConfig(PretrainedConfig):
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  r"""
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+ This is the configuration class to store the configuration of a [`InternLMModel`]. It is used to instantiate
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+ an InternLM model according to the specified arguments, defining the model architecture. Instantiating a
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+ configuration with the defaults will yield a similar configuration to that of the InternLM-7B.
35
 
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  Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
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  documentation from [`PretrainedConfig`] for more information.
 
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  model_type = "internlm"
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  _auto_class = "AutoConfig"
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+ def __init__( # pylint: disable=W0102
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  self,
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  vocab_size=103168,
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  hidden_size=4096,
 
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  eos_token_id=2,
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  tie_word_embeddings=False,
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  bias=True,
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+ rotary={"base": 10000, "type": "dynamic"}, # pylint: disable=W0102
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  **kwargs,
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  ):
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  self.vocab_size = vocab_size
 
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  self.rms_norm_eps = rms_norm_eps
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  self.use_cache = use_cache
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  self.bias = bias
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+ self.rotary = rotary
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  super().__init__(
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  pad_token_id=pad_token_id,
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  bos_token_id=bos_token_id,
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  eos_token_id=eos_token_id,
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  tie_word_embeddings=tie_word_embeddings,
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  **kwargs,
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+ )