| |
| """Minimal local configuration for the GenomeOcean custom Mistral model.""" |
|
|
| from transformers.configuration_utils import PretrainedConfig |
|
|
|
|
| class MistralConfig(PretrainedConfig): |
| model_type = "mistral" |
| keys_to_ignore_at_inference = ["past_key_values"] |
|
|
| def __init__( |
| self, |
| vocab_size=32000, |
| hidden_size=4096, |
| intermediate_size=14336, |
| num_hidden_layers=32, |
| num_attention_heads=32, |
| num_key_value_heads=8, |
| hidden_act="silu", |
| max_position_embeddings=4096 * 32, |
| initializer_range=0.02, |
| rms_norm_eps=1e-6, |
| use_cache=True, |
| pad_token_id=None, |
| bos_token_id=1, |
| eos_token_id=2, |
| tie_word_embeddings=False, |
| rope_theta=10000.0, |
| sliding_window=4096, |
| attention_dropout=0.0, |
| **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.sliding_window = sliding_window |
| self.num_key_value_heads = num_key_value_heads or num_attention_heads |
| self.hidden_act = hidden_act |
| self.initializer_range = initializer_range |
| self.rms_norm_eps = rms_norm_eps |
| self.use_cache = use_cache |
| self.rope_theta = rope_theta |
| self.attention_dropout = attention_dropout |
| 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, |
| ) |
|
|
