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- # Copyright (c) Alibaba Cloud.
- # LICENSE: https://huggingface.co/Qwen/Qwen-7B/blob/main/LICENSE
- from transformers import PretrainedConfig
- class QWenConfig(PretrainedConfig):
- model_type = "qwen"
- keys_to_ignore_at_inference = ["past_key_values"]
- def __init__(
- self,
- vocab_size=151936,
- hidden_size=4096,
- num_hidden_layers=32,
- num_attention_heads=32,
- emb_dropout_prob=0.0,
- attn_dropout_prob=0.0,
- layer_norm_epsilon=1e-6,
- initializer_range=0.02,
- max_position_embeddings=8192,
- scale_attn_weights=True,
- use_cache=True,
- bf16=False,
- fp16=False,
- fp32=False,
- kv_channels=128,
- rotary_pct=1.0,
- rotary_emb_base=10000,
- use_dynamic_ntk=True,
- use_logn_attn=True,
- use_flash_attn="auto",
- intermediate_size=22016,
- no_bias=True,
- tie_word_embeddings=False,
- **kwargs,
- ):
- self.vocab_size = vocab_size
- self.hidden_size = hidden_size
- self.intermediate_size = intermediate_size
- self.num_hidden_layers = num_hidden_layers
- self.num_attention_heads = num_attention_heads
- self.emb_dropout_prob = emb_dropout_prob
- self.attn_dropout_prob = attn_dropout_prob
- self.layer_norm_epsilon = layer_norm_epsilon
- self.initializer_range = initializer_range
- self.scale_attn_weights = scale_attn_weights
- self.use_cache = use_cache
- self.max_position_embeddings = max_position_embeddings
- self.bf16 = bf16
- self.fp16 = fp16
- self.fp32 = fp32
- self.kv_channels = kv_channels
- self.rotary_pct = rotary_pct
- self.rotary_emb_base = rotary_emb_base
- self.use_dynamic_ntk = use_dynamic_ntk
- self.use_logn_attn = use_logn_attn
- self.use_flash_attn = use_flash_attn
- self.no_bias = no_bias
- super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)
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