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from transformers.configuration_utils import PretrainedConfig |
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from transformers.modeling_rope_utils import rope_config_validation |
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from typing import Optional |
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class NeuroBLASTConfig(PretrainedConfig): |
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model_type = "neuroblast" |
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def __init__( |
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self, |
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vocab_size=28886, |
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hidden_size=2048, |
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kv_dim=2048, |
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intermediate_size=None, |
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num_attention_heads=32, |
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num_sensory_cortex_layers=6, |
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num_motor_cortex_layers=6, |
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num_association_cortex_layers=6, |
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dropout=0.1, |
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layer_norm_epsilon=1e-6, |
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pad_token_id=None, |
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use_cache=False, |
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rope_theta=10000.0, |
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rope_scaling=None, |
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max_position_embeddings=2048, |
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initializer_range=0.02, |
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use_flash_attn=True, |
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num_experts=None, |
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num_experts_per_tok=None, |
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norm_topk_prob=False, |
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hidden_act="silu", |
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use_zero_memory=False, |
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zero_memory_alpha=1.0, |
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zero_memory_layers=None, |
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gradient_scaling_enabled=True, |
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association_gradient_scale=0.9, |
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sensory_gradient_scale=0.95, |
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cross_attention_gradient_scale=0.95, |
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clamp_value=1e5, |
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_attn_implementation='sdpa', |
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**kwargs |
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): |
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if intermediate_size is None: |
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intermediate_size = int(hidden_size * 4 * 2 / 3) |
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super().__init__( |
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pad_token_id=pad_token_id, |
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**kwargs |
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) |
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self.vocab_size = vocab_size |
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self.hidden_size = hidden_size |
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self.kv_dim = kv_dim |
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self.intermediate_size = intermediate_size |
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self.num_attention_heads = num_attention_heads |
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self.num_sensory_cortex_layers = num_sensory_cortex_layers |
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self.num_motor_cortex_layers = num_motor_cortex_layers |
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self.num_association_cortex_layers = num_association_cortex_layers |
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self.dropout = dropout |
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self.layer_norm_epsilon = layer_norm_epsilon |
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self.rms_norm_eps = layer_norm_epsilon |
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self.use_cache = use_cache |
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self.rope_theta = rope_theta |
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self.rope_scaling = rope_scaling |
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self.max_position_embeddings = max_position_embeddings |
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self.initializer_range = initializer_range |
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self.use_flash_attn = use_flash_attn |
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self.num_experts = num_experts |
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self.num_experts_per_tok = num_experts_per_tok |
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self.norm_topk_prob = norm_topk_prob |
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self.hidden_act = hidden_act |
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self.use_zero_memory = use_zero_memory |
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self.zero_memory_alpha = zero_memory_alpha |
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self.zero_memory_layers = zero_memory_layers |
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self.gradient_scaling_enabled = gradient_scaling_enabled |
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self.association_gradient_scale = association_gradient_scale |
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self.sensory_gradient_scale = sensory_gradient_scale |
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self.cross_attention_gradient_scale = cross_attention_gradient_scale |
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self._attn_implementation = _attn_implementation |
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self.clamp_value = clamp_value |
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if self.rope_scaling is not None and "type" in self.rope_scaling: |
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self.rope_scaling["rope_type"] = self.rope_scaling["type"] |
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rope_config_validation(self) |
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