File size: 970 Bytes
8ca632a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | from transformers import PretrainedConfig
class PicoLMConfig(PretrainedConfig):
model_type = "picolm"
def __init__(
self,
vocab_size=16384,
hidden_size=576,
num_hidden_layers=20,
num_attention_heads=9,
num_key_value_heads=3,
intermediate_size=1536,
max_position_embeddings=2048,
rms_norm_eps=1e-5,
rope_theta=10000.0,
tie_word_embeddings=True,
**kwargs
):
super().__init__(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.intermediate_size = intermediate_size
self.max_position_embeddings = max_position_embeddings
self.rms_norm_eps = rms_norm_eps
self.rope_theta = rope_theta
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