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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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LLAMOE_PRETRAINED_CONFIG_ARCHIVE_MAP = { |
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"damerajee/Llamoe-test": "https://huggingface.co/damerajee/Llamoe-test/resolve/main/config.json", |
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} |
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class LlamoeConfig(PretrainedConfig): |
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model_type = "Llamoe" |
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keys_to_ignore_at_inference = ["past_key_values"] |
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def __init__( |
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self, |
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vocab_size=32000, |
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hidden_size=3072, |
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intermediate_size=24576, |
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num_hidden_layers=28, |
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num_attention_heads=16, |
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num_key_value_heads=16, |
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head_dim=256, |
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hidden_act="gelu", |
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max_position_embeddings=8192, |
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initializer_range=0.02, |
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rms_norm_eps=1e-6, |
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use_cache=True, |
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pad_token_id=0, |
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eos_token_id=1, |
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bos_token_id=2, |
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tie_word_embeddings=True, |
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rope_theta=10000.0, |
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attention_bias=False, |
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attention_dropout=0.0, |
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num_experts_per_tok=2, |
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num_local_experts=8, |
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router_aux_loss_coef=0.02, |
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output_router_logits=False, |
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**kwargs, |
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): |
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self.vocab_size = vocab_size |
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self.max_position_embeddings = max_position_embeddings |
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self.hidden_size = hidden_size |
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self.intermediate_size = intermediate_size |
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self.num_hidden_layers = num_hidden_layers |
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self.num_attention_heads = num_attention_heads |
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self.head_dim = head_dim |
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self.num_key_value_heads = num_key_value_heads |
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self.hidden_act = hidden_act |
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self.initializer_range = initializer_range |
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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.rope_theta = rope_theta |
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self.attention_bias = attention_bias |
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self.attention_dropout = attention_dropout |
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self.num_experts_per_tok = num_experts_per_tok |
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self.num_local_experts = num_local_experts |
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self.router_aux_loss_coef = router_aux_loss_coef |
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self.output_router_logits = output_router_logits |
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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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) |