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| """ HelpingAI model configuration""" | |
| from transformers import PretrainedConfig | |
| from transformers.utils import logging | |
| logger = logging.get_logger(__name__) | |
| class HelpingAIConfig(PretrainedConfig): | |
| keys_to_ignore_at_inference = ["past_key_values"] | |
| model_type = "HelpingAI" | |
| def __init__( | |
| self, | |
| vocab_size=50304, | |
| hidden_size=2560, | |
| intermediate_size=6912, | |
| num_hidden_layers=32, | |
| num_attention_heads=32, | |
| num_key_value_heads=32, | |
| head_dim=256, | |
| hidden_act="silu", | |
| max_position_embeddings=4096, | |
| initializer_range=0.02, | |
| rms_norm_eps=1e-6, | |
| use_cache=True, | |
| hidden_activation=None, | |
| rope_theta=10000, | |
| rope_pct=0.25, | |
| attention_bias=False, | |
| attention_dropout=0.0, | |
| num_experts_per_tok=2, | |
| num_local_experts=8, | |
| router_aux_loss_coef=0.02, | |
| output_router_logits=False, | |
| norm_eps=1.0e-5, | |
| **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.head_dim = head_dim | |
| self.hidden_act = hidden_act | |
| self.hidden_activation = hidden_activation | |
| self.num_key_value_heads = num_key_value_heads | |
| self.initializer_range = initializer_range | |
| self.rms_norm_eps = rms_norm_eps | |
| self.use_cache = use_cache | |
| self.rope_theta = rope_theta | |
| self.attention_bias = attention_bias | |
| self.attention_dropout = attention_dropout | |
| self.num_experts_per_tok = num_experts_per_tok | |
| self.num_local_experts = num_local_experts | |
| self.router_aux_loss_coef = router_aux_loss_coef | |
| self.output_router_logits = output_router_logits | |
| self.rope_pct = rope_pct | |
| self.norm_eps = norm_eps | |
| super().__init__(**kwargs) | |