From d619666d236a3e1edef6424d7a7d55deae01bc67 Mon Sep 17 00:00:00 2001
From: Nilabhra <nilabhraroy@gmail.com>
Date: Tue, 14 May 2024 10:14:18 +0400
Subject: [PATCH] fix: setting the rotary base from the config for the grouped
 query models.

---
 .../models/custom_modeling/flash_rw_modeling.py       | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
index 921540b8..b0b9d500 100644
--- a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
@@ -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 (
@@ -479,6 +481,7 @@ class FlashRWLayer(nn.Module):
 
             return mlp_output, residual
 
+
 class FlashRWLayerNorm(nn.Module):
     def __init__(self, config, prefix, weights):
         super().__init__()
@@ -678,7 +681,7 @@ class FlashRWLargeLayer(nn.Module):
     def __init__(self, layer_id, config, weights):
         super().__init__()
         prefix = f"transformer.h.{layer_id}"
-        
+
         self.ln_layer = FlashRWLayerNorm(config, prefix, weights)
 
         self.self_attention = FlashRWLargeAttention(