| from transformers.configuration_utils import PretrainedConfig | |
| from transformers.utils import logging | |
| logger = logging.get_logger(__name__) | |
| INTERNLM_PRETRAINED_CONFIG_ARCHIVE_MAP = {} | |
| class InternLMXComposerConfig(PretrainedConfig): | |
| model_type = "InternLMXComposer" | |
| _auto_class = "AutoConfig" | |
| def __init__( | |
| self, | |
| vocab_size=103168, | |
| hidden_size=4096, | |
| intermediate_size=11008, | |
| num_hidden_layers=32, | |
| num_attention_heads=32, | |
| hidden_act="silu", | |
| max_position_embeddings=2048, | |
| initializer_range=0.02, | |
| rms_norm_eps=1e-5, | |
| use_cache=True, | |
| pad_token_id=-1, | |
| bos_token_id=1, | |
| eos_token_id=2, | |
| tie_word_embeddings=False, | |
| bias=True, | |
| num_query_token=32, | |
| num_quant=32, | |
| intern_converted_llm=True, | |
| kqvo_bias=True, | |
| device='cuda', | |
| internlm_lora=None, | |
| **kwargs, | |
| ): | |
| self.vocab_size = vocab_size | |
| self.max_position_embeddings = max_position_embeddings | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.hidden_act = hidden_act | |
| self.initializer_range = initializer_range | |
| self.rms_norm_eps = rms_norm_eps | |
| self.use_cache = use_cache | |
| self.bias = bias | |
| self.num_query_token = num_query_token | |
| self.num_quant = num_quant | |
| self.internlm_lora = internlm_lora | |
| self.kqvo_bias = kqvo_bias | |
| self.intern_converted_llm = intern_converted_llm | |
| self.device = device | |
| super().__init__( | |
| pad_token_id=pad_token_id, | |
| bos_token_id=bos_token_id, | |
| eos_token_id=eos_token_id, | |
| tie_word_embeddings=tie_word_embeddings, | |
| **kwargs, | |
| ) | |