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fix: setting the rotary base from the config for the grouped query models.

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This commit is contained in:
Nilabhra 2024-05-14 10:14:18 +04:00
parent 22c005fac3
commit dcd2b4425c
1 changed files with 11 additions and 5 deletions
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14
server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
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@ -6,12 +6,14 @@ from torch import nn
from transformers.configuration_utils import PretrainedConfig
from transformers.modeling_utils import PreTrainedModel
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils import flash_attn, paged_attention
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
FastLayerNorm,
PositionRotaryEmbedding,
SpeculativeHead,
TensorParallelColumnLinear,
TensorParallelEmbedding,
SpeculativeHead,
TensorParallelRowLinear,
get_linear,
)
from text_generation_server.layers.layernorm import (
@ -138,7 +140,10 @@ class FlashRWAttention(torch.nn.Module):
self.rope_theta = config.rope_theta
self.rotary_emb = PositionRotaryEmbedding.static(
config=config, dim=self.head_size, base=self.rope_theta, device=weights.device
config=config,
dim=self.head_size,
base=self.rope_theta,
device=weights.device,
)
self.softmax_scale = self.head_size ** (-0.5)
@ -476,6 +481,7 @@ class FlashRWLayer(nn.Module):
return mlp_output, residual
class FlashRWLayerNorm(nn.Module):
def __init__(self, config, prefix, weights):
super().__init__()