convert-*.py: remove autogenerated uuid

convert_hf_to_gguf.py

@@ -378,12 +378,6 @@ class Model:
 
     def prepare_key_value_store(self):
 
-        # Upon missing model uuid, generate uuid based on tensor content
-        if self.metadata.uuid is None:
-            self.metadata.uuid = self.gguf_writer.generate_tensors_uuid()
-            max_name_len = max(len(s) for _, s in self.tensor_map.mapping.values()) + len(".weight,")
-            logger.info(f"{f'%-{max_name_len}s' % f'generating general.uuid'} {self.metadata.uuid}")
-
         logger.info("Set meta model")
         self.metadata.set_gguf_meta_model(self.gguf_writer)
 

gguf-py/gguf/gguf_writer.py

@@ -2,8 +2,6 @@ from __future__ import annotations
 
 import logging
 import os
-import uuid
-import hashlib
 import shutil
 import struct
 import tempfile
@@ -369,19 +367,6 @@ class GGUFWriter:
 
         self.state = WriterState.WEIGHTS
 
-    def generate_tensors_uuid(self) -> str:
-        uuidv5_sha1 = hashlib.sha1()
-        uuidv5_sha1.update(uuid.UUID('ef001206-dadc-5f6d-a15f-3359e577d4e5').bytes)
-
-        for tensors in self.tensors:
-            # relying on the fact that Python dicts preserve insertion order (since 3.7)
-            for name, ti in tensors.items():
-                assert ti.tensor is not None
-                assert ti.tensor.nbytes == ti.nbytes
-                uuidv5_sha1.update(ti.tensor.tobytes('C'))
-
-        return str(uuid.UUID(bytes=uuidv5_sha1.digest()[:16], version=5))
-
     def write_tensors_to_file(self, *, progress: bool = False) -> None:
         self.write_ti_data_to_file()