File size: 1,369 Bytes
0f18680 | 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 30 31 32 33 34 35 36 37 38 39 40 41 | from transformers import PretrainedConfig
class PebbleConfig(PretrainedConfig):
model_type = "pebble_10m"
def __init__(
self,
vocab_size=2048,
hidden_size=384,
intermediate_size=1536,
num_hidden_layers=8,
num_attention_heads=6,
block_pattern="mmma|mmma",
hybrid_ratio="3:1 mamba2:attention",
max_position_embeddings=512,
rms_norm_eps=1e-6,
tie_word_embeddings=True,
mamba2=None,
attention=None,
**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.block_pattern = block_pattern
self.hybrid_ratio = hybrid_ratio
self.max_position_embeddings = max_position_embeddings
self.rms_norm_eps = rms_norm_eps
self.tie_word_embeddings = tie_word_embeddings
# Default dictionaries if not provided in config.json
self.mamba2 = mamba2 or {
"d_state": 128, "d_conv": 4, "expand": 2,
"headdim": 96, "use_mem_eff_path": True
}
self.attention = attention or {
"rope_theta": 10000.0, "is_causal": True
}
super().__init__(**kwargs) |