|
|
| import warnings |
|
|
| from transformers.configuration_utils import PretrainedConfig |
|
|
|
|
| class MLAConfig(PretrainedConfig): |
|
|
| model_type = 'mla' |
| keys_to_ignore_at_inference = ['past_key_values'] |
|
|
| def __init__( |
| self, |
| hidden_size: int = 2048, |
| num_hidden_layers: int = 24, |
| num_heads: int = 16, |
| q_lora_rank: int | None = 64, |
| qk_rope_head_dim: int = 64, |
| kv_lora_rank: int = 512, |
| v_head_dim: int = 128, |
| qk_nope_head_dim: int = 128, |
| qk_head_dim: int | None = 192, |
| window_size: int | None = None, |
| rope_theta: float | None = 10000., |
| max_position_embeddings: int = 2048, |
| rope_scaling: dict | None = None, |
| hidden_ratio: int | None = 4, |
| intermediate_size: int | None = None, |
| hidden_act: str = "swish", |
| initializer_range: float = 0.02, |
| elementwise_affine: bool | None = True, |
| norm_eps: float = 1e-6, |
| use_cache: bool = True, |
| pad_token_id: int = None, |
| bos_token_id: int = 1, |
| eos_token_id: int = 2, |
| tie_word_embeddings: bool = False, |
| fuse_norm: bool = True, |
| fuse_swiglu: bool = True, |
| fuse_cross_entropy: bool = True, |
| fuse_linear_cross_entropy: bool = False, |
| use_l2warp: bool = False, |
| vocab_size: int = 32000, |
| **kwargs, |
| ): |
| self.hidden_size = hidden_size |
| self.num_hidden_layers = num_hidden_layers |
| self.num_heads = num_heads |
|
|
| |
| self.q_lora_rank = q_lora_rank |
| self.qk_rope_head_dim = qk_rope_head_dim |
| self.kv_lora_rank = kv_lora_rank |
| self.v_head_dim = v_head_dim |
| self.qk_nope_head_dim = qk_nope_head_dim |
| self.qk_head_dim = qk_head_dim |
| self.rope_scaling = rope_scaling |
|
|
| self.window_size = window_size |
| self.rope_theta = rope_theta |
| self.max_position_embeddings = max_position_embeddings |
|
|
| self.hidden_ratio = hidden_ratio |
| self.intermediate_size = intermediate_size |
| self.hidden_act = hidden_act |
|
|
| self.initializer_range = initializer_range |
| self.elementwise_affine = elementwise_affine |
| self.norm_eps = norm_eps |
| self.use_cache = use_cache |
|
|
| self.fuse_norm = fuse_norm |
| self.fuse_swiglu = fuse_swiglu |
| self.fuse_cross_entropy = fuse_cross_entropy |
| self.fuse_linear_cross_entropy = fuse_linear_cross_entropy |
| self.use_l2warp = use_l2warp |
| self.vocab_size = vocab_size |
|
|
| if fuse_cross_entropy and fuse_linear_cross_entropy: |
| raise ValueError( |
| "`fuse_cross_entropy` and `fuse_linear_cross_entropy` cannot be True at the same time.", |
| ) |
| if fuse_linear_cross_entropy: |
| warnings.warn( |
| "`fuse_linear_cross_entropy` is enabled, which can improves memory efficiency " |
| "at the potential cost of reduced precision. " |
| "If you observe issues like loss divergence, consider disabling this setting.", |
| ) |
|
|
| 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, |
| ) |
|
|
