Text Generation
MLX
Safetensors
English
Chinese
bailing_hybrid
jang
jangtq
jangtq2
turboquant
quantized
mixed-precision
apple-silicon
Mixture of Experts
bailing
bailing-hybrid
linear-attention
mla
multi-latent-attention
abliterated
uncensored
crack
harmbench
mmlu
bilingual
ling
ling-2.6
inclusionai
conversational
custom_code
| """Bailing MoE V2 model configuration""" | |
| from transformers.configuration_utils import PretrainedConfig | |
| class BailingMoeV2_5Config(PretrainedConfig): | |
| def __init__( | |
| self, | |
| vocab_size=157184, | |
| hidden_size=2048, | |
| intermediate_size=5120, | |
| num_hidden_layers=20, | |
| num_attention_heads=16, | |
| num_key_value_heads=4, | |
| hidden_act="silu", | |
| use_qkv_bias=False, # bailing only | |
| use_bias=False, # bailing only | |
| rms_norm_eps=1e-06, | |
| tie_word_embeddings=False, # PretrainedConfig key, here change default value. | |
| embedding_dropout=0.0, | |
| attention_dropout=0.0, | |
| output_dropout=0.0, | |
| initializer_range=0.02, | |
| max_position_embeddings=32768, | |
| rope_theta=600000.0, | |
| use_cache=True, | |
| max_window_layers=20, | |
| rope_scaling=None, | |
| pad_token_id=156892, | |
| eos_token_id=156892, | |
| num_experts=256, | |
| num_shared_experts=1, | |
| num_experts_per_tok=8, | |
| n_group=8, | |
| topk_group=4, | |
| moe_intermediate_size=512, | |
| first_k_dense_replace=1, | |
| head_dim=128, | |
| output_router_logits=False, | |
| use_qk_norm=True, | |
| num_nextn_predict_layers=0, | |
| mtp_loss_scaling_factor=0, | |
| moe_router_enable_expert_bias=True, | |
| routed_scaling_factor=1.0, | |
| layer_group_size=5, | |
| group_norm_size=4, | |
| linear_silu=False, | |
| kv_lora_rank=512, | |
| q_lora_rank=None, | |
| qk_rope_head_dim=64, | |
| v_head_dim=128, | |
| qk_nope_head_dim=128, | |
| rope_interleave=True, | |
| partial_rotary_factor=0.5, | |
| score_function="sigmoid", | |
| scoring_func="sigmoid", | |
| seq_aux=True, | |
| topk_method="noaux_tc", | |
| router_dtype="fp32", | |
| **kwargs, | |
| ): | |
| self.num_hidden_layers = num_hidden_layers | |
| self.vocab_size = vocab_size | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_attention_heads = num_attention_heads | |
| self.num_key_value_heads = num_key_value_heads | |
| self.hidden_act = hidden_act | |
| self.use_qkv_bias = use_qkv_bias | |
| self.use_bias = use_bias | |
| self.rms_norm_eps = rms_norm_eps | |
| self.embedding_dropout = embedding_dropout | |
| self.attention_dropout = attention_dropout | |
| self.output_dropout = output_dropout | |
| self.num_nextn_predict_layers = num_nextn_predict_layers | |
| self.mtp_loss_scaling_factor = mtp_loss_scaling_factor | |
| self.initializer_range = initializer_range | |
| self.max_position_embeddings = max_position_embeddings | |
| self.rope_theta = rope_theta | |
| self.use_cache = use_cache | |
| self.max_window_layers = max_window_layers | |
| self.head_dim = head_dim or self.hidden_size // self.num_attention_heads | |
| self.rope_scaling = rope_scaling | |
| self.use_qk_norm = use_qk_norm | |
| self.moe_router_enable_expert_bias = moe_router_enable_expert_bias | |
| self.routed_scaling_factor = routed_scaling_factor | |
| # MoE configs | |
| self.num_experts = num_experts | |
| self.num_shared_experts = num_shared_experts | |
| self.num_experts_per_tok = num_experts_per_tok | |
| self.n_group = n_group | |
| self.topk_group = topk_group | |
| self.moe_intermediate_size = moe_intermediate_size | |
| self.first_k_dense_replace = first_k_dense_replace | |
| self.output_router_logits = output_router_logits | |
| # Linear configs | |
| self.layer_group_size = layer_group_size | |
| self.group_norm_size = group_norm_size | |
| self.linear_silu = linear_silu | |
| # mla | |
| self.kv_lora_rank = kv_lora_rank | |
| self.q_lora_rank = q_lora_rank | |
| self.qk_rope_head_dim = qk_rope_head_dim | |
| self.score_function = score_function | |
| self.scoring_func = scoring_func | |
| self.seq_aux = seq_aux | |
| self.topk_method = topk_method | |
| self.v_head_dim = v_head_dim | |
| self.qk_nope_head_dim = qk_nope_head_dim | |
| self.qk_head_dim = qk_nope_head_dim + qk_rope_head_dim | |
| self.rope_interleave = rope_interleave | |
| self.router_dtype = router_dtype | |
| self.partial_rotary_factor = partial_rotary_factor | |
| super().__init__( | |
| pad_token_id=pad_token_id, eos_token_id=eos_token_id, tie_word_embeddings=tie_word_embeddings, **kwargs | |
| ) | |