| """ |
| Hugging Face Transformers Configuration for Mark-Engineer-V2-8B |
| """ |
|
|
| from transformers.configuration_utils import PretrainedConfig |
|
|
|
|
| class MarkEngineerV2_8BConfig(PretrainedConfig): |
| model_type = "mark_engineer_v2_8b" |
| keys_to_ignore_at_inference = ["past_key_values"] |
|
|
| def __init__( |
| self, |
| vocab_size: int = 49152, |
| hidden_size: int = 2560, |
| num_hidden_layers: int = 32, |
| num_attention_heads: int = 32, |
| num_key_value_heads: int = 8, |
| q_lora_rank: int = 1024, |
| kv_lora_rank: int = 512, |
| qk_nope_head_dim: int = 64, |
| qk_rope_head_dim: int = 32, |
| v_head_dim: int = 80, |
| intermediate_size: int = 7680, |
| n_dense_layers: int = 2, |
| n_shared_experts: int = 1, |
| n_routed_experts: int = 24, |
| num_experts_per_tok: int = 2, |
| moe_intermediate_size: int = 1254, |
| router_bias_update_rate: float = 1e-3, |
| mtp_depth: int = 1, |
| mtp_loss_weight: float = 0.3, |
| max_position_embeddings: int = 8192, |
| rope_theta: float = 500000.0, |
| rms_norm_eps: float = 1e-5, |
| tie_word_embeddings: bool = True, |
| bos_token_id: int = 1, |
| eos_token_id: int = 2, |
| pad_token_id: int = 0, |
| **kwargs, |
| ): |
| super().__init__( |
| bos_token_id=bos_token_id, |
| eos_token_id=eos_token_id, |
| pad_token_id=pad_token_id, |
| tie_word_embeddings=tie_word_embeddings, |
| **kwargs, |
| ) |
| self.vocab_size = vocab_size |
| self.hidden_size = hidden_size |
| self.num_hidden_layers = num_hidden_layers |
| self.num_attention_heads = num_attention_heads |
| self.num_key_value_heads = num_key_value_heads |
| self.q_lora_rank = q_lora_rank |
| self.kv_lora_rank = kv_lora_rank |
| self.qk_nope_head_dim = qk_nope_head_dim |
| self.qk_rope_head_dim = qk_rope_head_dim |
| self.v_head_dim = v_head_dim |
| self.intermediate_size = intermediate_size |
| self.n_dense_layers = n_dense_layers |
| self.n_shared_experts = n_shared_experts |
| self.n_routed_experts = n_routed_experts |
| self.num_experts_per_tok = num_experts_per_tok |
| self.moe_intermediate_size = moe_intermediate_size |
| self.router_bias_update_rate = router_bias_update_rate |
| self.mtp_depth = mtp_depth |
| self.mtp_loss_weight = mtp_loss_weight |
| self.max_position_embeddings = max_position_embeddings |
| self.rope_theta = rope_theta |
| self.rms_norm_eps = rms_norm_eps |
|
|
