| from transformers.configuration_utils import PretrainedConfig |
| from loguru import logger as logging |
|
|
|
|
| class BuddyGPTConfig(PretrainedConfig): |
| """ TinyLLM 配置文件 |
| """ |
| |
| model_type = "buddygpt" |
| keys_to_ignore_at_inference = ["past_key_values"] |
|
|
| def __init__( |
| self, |
| vocab_size=151669, |
| hidden_size=4096, |
| intermediate_size=4096, |
| num_hidden_layers=32, |
| num_attention_heads=32, |
| num_key_value_heads=None, |
| hidden_act="silu", |
| num_seq_len=2048, |
| initializer_range=0.02, |
| rms_norm_eps=1e-6, |
| use_cache=True, |
| pad_token_id=None, |
| bos_token_id=None, |
| eos_token_id=None, |
| tie_word_embeddings=False, |
| rope_theta=10000.0, |
| attention_dropout=0.0, |
| _attn_implementation="sdpa", |
| q_lora_rank: int = 16, |
| qk_rope_head_dim: int = 4, |
| kv_lora_rank: int = 16, |
| v_head_dim: int = 16, |
| qk_nope_head_dim: int = 12, |
| n_expert=None, |
| n_expert_per_token=2, |
| n_group=2, |
| n_topk_group=1, |
| norm_topk_prob=True, |
| routed_scaling_factor=0.2, |
| scoring_func='sigmoid', |
| topk_method='noaux_tc', |
| moe_intermediate_size=10, |
| n_shared_experts=2, |
| **kwargs, |
| ): |
| self.vocab_size = vocab_size |
| self.num_seq_len = num_seq_len |
| self.hidden_size = hidden_size |
| self.intermediate_size = intermediate_size |
| self.num_hidden_layers = num_hidden_layers |
| self.num_attention_heads = num_attention_heads |
| |
| |
| if num_key_value_heads is None: |
| num_key_value_heads = num_attention_heads |
| |
| self.num_key_value_heads = num_key_value_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 |
| self._attn_implementation = _attn_implementation |
|
|
| |
| 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.n_expert = n_expert |
| self.n_expert_per_token = n_expert_per_token |
| self.n_group = n_group |
| self.n_topk_group = n_topk_group |
| self.norm_topk_prob = norm_topk_prob |
| self.routed_scaling_factor=routed_scaling_factor |
| self.scoring_func = scoring_func |
| self.topk_method = topk_method |
| self.moe_intermediate_size = moe_intermediate_size |
| self.n_shared_experts = n_shared_experts |
| |
| 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 |
| ) |
