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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
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