From 09b6da741ec0bfd9d8bb8e30cebefc9a3593a1ff Mon Sep 17 00:00:00 2001
From: klosax <131523366+klosax@users.noreply.github.com>
Date: Sat, 26 Aug 2023 21:53:56 +0200
Subject: [PATCH] gguf.py : string len uint64_t and n_dims uint32_t

---
 gguf-py/gguf/gguf.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/gguf-py/gguf/gguf.py b/gguf-py/gguf/gguf.py
index 2600cb2e4..838a2c0f8 100644
--- a/gguf-py/gguf/gguf.py
+++ b/gguf-py/gguf/gguf.py
@@ -509,7 +509,7 @@ class GGUFWriter:
             self.kv_data += struct.pack("?", val)
         elif vtype == GGUFValueType.STRING:
             encoded_val = val.encode("utf8") if isinstance(val, str) else val
-            self.kv_data += struct.pack("<I", len(encoded_val))
+            self.kv_data += struct.pack("<Q", len(encoded_val))
             self.kv_data += encoded_val
         elif vtype == GGUFValueType.ARRAY:
             ltype = set([GGUFValueType.get_type(item) for item in val])
@@ -529,10 +529,10 @@ class GGUFWriter:
         assert raw_dtype is not None or tensor_dtype in (np.float32, np.float16), "Only F32 and F16 tensors are supported for now"
 
         encoded_name = name.encode("utf8")
-        self.ti_data += struct.pack("<I", len(encoded_name))
+        self.ti_data += struct.pack("<Q", len(encoded_name))
         self.ti_data += encoded_name
         n_dims = len(tensor_shape)
-        self.ti_data += struct.pack("<Q", n_dims)
+        self.ti_data += struct.pack("<I", n_dims)
         for i in range(n_dims):
             self.ti_data += struct.pack("<Q", tensor_shape[n_dims - 1 - i])
         if raw_dtype is None: