%%capture
!pip install unsloth "xformers==0.0.28.post2"

Also get the latest nightly Unsloth!

!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
!pip install --upgrade --no-cache-dir --no-deps unsloth transformers git+https://github.com/huggingface/trl.git

AND

%%capture
!pip install unsloth "xformers==0.0.28.post2"

Also get the latest nightly Unsloth!

!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
#!pip install --upgrade --no-cache-dir --no-deps unsloth transformers git+https://github.com/huggingface/trl.git

Error is the same.

if True:
model.push_to_hub_gguf(
"HF/Model", # Change hf to your username!
tokenizer,
quantization_method = ["q4_0","q4_k_m","q5_k_m",],
token = "hf_KCorrect_Token_Here", # Get a token at https://huggingface.co/settings/tokens
)

Unsloth: [0] Installing llama.cpp. This will take 3 minutes...
Unsloth: [1] Converting model at XXX into f16 GGUF format.
The output location will be /content/CCC/dddd/unsloth.F16.gguf
This will take 3 minutes...

TypeError Traceback (most recent call last)
in <cell line: 1>()
1 if True:
----> 2 model.push_to_hub_gguf(
3 "HF/Model", # Change hf to your username!
4 tokenizer,
5 quantization_method = ["q4_0","q4_k_m","q5_k_m",],

4 frames
/usr/local/lib/python3.10/dist-packages/unsloth/save.py in unsloth_push_to_hub_gguf(self, repo_id, tokenizer, quantization_method, first_conversion, use_temp_dir, commit_message, private, token, max_shard_size, create_pr, safe_serialization, revision, commit_description, tags, temporary_location, maximum_memory_usage)
1859
1860 # Save to GGUF
-> 1861 all_file_locations, want_full_precision = save_to_gguf(
1862 model_type, model_dtype, is_sentencepiece_model,
1863 new_save_directory, quantization_method, first_conversion, makefile,

/usr/local/lib/python3.10/dist-packages/unsloth/save.py in save_to_gguf(model_type, model_dtype, is_sentencepiece, model_directory, quantization_method, first_conversion, _run_installer)
1091 vocab_type = "spm,hfft,bpe"
1092 # Fix Sentencepiece model as well!
-> 1093 fix_sentencepiece_gguf(model_directory)
1094 else:
1095 vocab_type = "bpe"

/usr/local/lib/python3.10/dist-packages/unsloth/tokenizer_utils.py in fix_sentencepiece_gguf(saved_location)
402 """
403 from copy import deepcopy
--> 404 from transformers.utils import sentencepiece_model_pb2
405 import json
406 from enum import IntEnum

/usr/local/lib/python3.10/dist-packages/transformers/utils/sentencepiece_model_pb2.py in
26
27
---> 28 DESCRIPTOR = _descriptor.FileDescriptor(
29 name="sentencepiece_model.proto",
30 package="sentencepiece",

/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py in new(cls, name, package, options, serialized_options, serialized_pb, dependencies, public_dependencies, syntax, pool, create_key)
1022 raise RuntimeError('Please link in cpp generated lib for %s' % (name))
1023 elif serialized_pb:
-> 1024 return _message.default_pool.AddSerializedFile(serialized_pb)
1025 else:
1026 return super(FileDescriptor, cls).new(cls)

TypeError: Couldn't build proto file into descriptor pool!
Invalid proto descriptor for file "sentencepiece_model.proto":
sentencepiece_model.proto: A file with this name is already in the pool.

This happened last week too, IIRC it was a transformers thing then, but I can't find a work around.