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"""TPU Gemma3 model configuration""" |
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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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class TPUGemma3Config(PretrainedConfig): |
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model_type = "tpu_gemma3" |
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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=262_208, |
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hidden_size=2304, |
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intermediate_size=9216, |
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num_hidden_layers=26, |
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num_attention_heads=8, |
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num_key_value_heads=4, |
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head_dim=256, |
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hidden_activation="gelu_pytorch_tanh", |
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max_position_embeddings=131_072, |
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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=1_000_000.0, |
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attention_bias=False, |
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attention_dropout=0.0, |
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query_pre_attn_scalar=256, |
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sliding_window=4096, |
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final_logit_softcapping=None, |
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attn_logit_softcapping=None, |
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cache_implementation="hybrid", |
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rope_scaling=None, |
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rope_local_base_freq=10_000.0, |
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sliding_window_pattern=6, |
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expand_input_ids=False, |
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expand_input_ids_maxlen=None, |
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expand_input_ids_vocab_size=None, |
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expand_input_ids_dict=None, |
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project_mode=None, |
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previous_hidden_size=None, |
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skip_out_norm=False, |
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**kwargs, |
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): |
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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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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.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.hidden_activation = hidden_activation |
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self.query_pre_attn_scalar = query_pre_attn_scalar |
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self.sliding_window = sliding_window |
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self.final_logit_softcapping = final_logit_softcapping |
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self.attn_logit_softcapping = attn_logit_softcapping |
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self.cache_implementation = cache_implementation |
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self.rope_local_base_freq = rope_local_base_freq |
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self.sliding_window_pattern = sliding_window_pattern |
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self.rope_scaling = rope_scaling |
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rope_config_validation(self) |
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self.expand_input_ids = expand_input_ids |
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self.expand_input_ids_maxlen = expand_input_ids_maxlen |
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self.expand_input_ids_vocab_size = expand_input_ids_vocab_size |
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self.expand_input_ids_dict = expand_input_ids_dict |
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self.project_mode = project_mode |
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self.previous_hidden_size = previous_hidden_size |
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self.skip_out_norm = skip_out_norm |
