| """TPU Gemma3 model configuration""" |
|
|
| from transformers.configuration_utils import PretrainedConfig |
| from transformers.modeling_rope_utils import rope_config_validation |
|
|
|
|
| class TPUGemma3Config(PretrainedConfig): |
| model_type = "tpu_gemma3" |
| keys_to_ignore_at_inference = ["past_key_values"] |
|
|
| def __init__( |
| self, |
| vocab_size=262_208, |
| hidden_size=2304, |
| intermediate_size=9216, |
| num_hidden_layers=26, |
| num_attention_heads=8, |
| num_key_value_heads=4, |
| head_dim=256, |
| hidden_activation="gelu_pytorch_tanh", |
| max_position_embeddings=131_072, |
| initializer_range=0.02, |
| rms_norm_eps=1e-6, |
| use_cache=True, |
| pad_token_id=0, |
| eos_token_id=1, |
| bos_token_id=2, |
| tie_word_embeddings=True, |
| rope_theta=1_000_000.0, |
| attention_bias=False, |
| attention_dropout=0.0, |
| query_pre_attn_scalar=256, |
| sliding_window=4096, |
| final_logit_softcapping=None, |
| attn_logit_softcapping=None, |
| cache_implementation="hybrid", |
| rope_scaling=None, |
| rope_local_base_freq=10_000.0, |
| sliding_window_pattern=6, |
| expand_input_ids=False, |
| expand_input_ids_maxlen=None, |
| expand_input_ids_vocab_size=None, |
| expand_input_ids_dict=None, |
| project_mode=None, |
| previous_hidden_size=None, |
| skip_out_norm=False, |
| **kwargs, |
| ): |
| 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, |
| ) |
| 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.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.hidden_activation = hidden_activation |
| self.query_pre_attn_scalar = query_pre_attn_scalar |
| self.sliding_window = sliding_window |
| self.final_logit_softcapping = final_logit_softcapping |
| self.attn_logit_softcapping = attn_logit_softcapping |
| self.cache_implementation = cache_implementation |
|
|
| self.rope_local_base_freq = rope_local_base_freq |
| |
| self.sliding_window_pattern = sliding_window_pattern |
| self.rope_scaling = rope_scaling |
| rope_config_validation(self) |
|
|
| self.expand_input_ids = expand_input_ids |
| self.expand_input_ids_maxlen = expand_input_ids_maxlen |
| self.expand_input_ids_vocab_size = expand_input_ids_vocab_size |
| self.expand_input_ids_dict = expand_input_ids_dict |
|
|
| self.project_mode = project_mode |
| self.previous_hidden_size = previous_hidden_size |
|
|
| self.skip_out_norm = skip_out_norm |
|
|
