diff --git a/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py b/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
index 4603d577..04bd422f 100644
--- a/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
@@ -49,6 +49,7 @@ def _load_multi_mqa_gptq(
         q_tensor = slice_[:, start:stop]
         kv_tensor = slice_[:, -2 * head_size :]
         qweight = torch.cat([q_tensor, kv_tensor], dim=1)
+        qweight = qweight.to(device=weights.device)
 
         slice_ = weights._get_slice(f"{prefix}.c_attn.scales")
         shape = slice_.get_shape()
@@ -59,6 +60,7 @@ def _load_multi_mqa_gptq(
         q_tensor = slice_[:, start:stop]
         kv_tensor = slice_[:, -2 * head_size :]
         scales = torch.cat([q_tensor, kv_tensor], dim=1)
+        scales = scales.to(device=weights.device)
 
         slice_ = weights._get_slice(f"{prefix}.c_attn.qzeros")
         shape = slice_.get_shape()
@@ -69,8 +71,10 @@ def _load_multi_mqa_gptq(
         q_tensor = slice_[:, start:stop]
         kv_tensor = slice_[:, -2 * head_size * 4 // 32 :]
         qzeros = torch.cat([q_tensor, kv_tensor], dim=1)
+        qzeros = qzeros.to(device=weights.device)
 
         g_idx = weights.get_tensor(f"{prefix}.c_attn.g_idx")
+        g_idx = g_idx.to(device=weights.device)
         bits, groupsize = weights._get_gptq_qparams()
 
         from text_generation_server.utils.layers import HAS_EXLLAMA
@@ -88,6 +92,7 @@ def _load_multi_mqa_gptq(
             q_tensor = slice_[start:stop]
             kv_tensor = slice_[-2 * head_size :]
             bias = torch.cat([q_tensor, kv_tensor], dim=0)
+            bias = bias.to(device=weights.device)
 
         return TensorParallelColumnLinear(get_linear(weight, bias, config.quantize))
     else: