1#!/usr/bin/env python3
 2
 3from huggingface_hub import HfApi
 4import argparse
 5import os
 6
 7def upload_gguf_file(local_file_path, repo_id, filename_in_repo=None):
 8    """
 9    Upload a GGUF file to a Hugging Face model repository
10
11    Args:
12        local_file_path: Path to your local GGUF file
13        repo_id: Your repository ID (e.g., "username/model-name")
14        filename_in_repo: Optional custom name for the file in the repo
15    """
16
17    if not os.path.exists(local_file_path):
18        print(f"โŒ File not found: {local_file_path}")
19        return False
20
21    if filename_in_repo is None:
22        filename_in_repo = os.path.basename(local_file_path)
23
24    if filename_in_repo is None or filename_in_repo == "":
25        filename_in_repo = os.path.basename(local_file_path)
26
27    print(f"๐Ÿ“ค Uploading {local_file_path} to {repo_id}/{filename_in_repo}")
28
29    api = HfApi()
30
31    try:
32        api.upload_file(
33            path_or_fileobj=local_file_path,
34            path_in_repo=filename_in_repo,
35            repo_id=repo_id,
36            repo_type="model",
37            commit_message=f"Upload {filename_in_repo}"
38        )
39
40        print("โœ… Upload successful!")
41        print(f"๐Ÿ”— File available at: https://huggingface.co/{repo_id}/blob/main/{filename_in_repo}")
42        return True
43
44    except Exception as e:
45        print(f"โŒ Upload failed: {e}")
46        return False
47
48# This script requires that the environment variable HF_TOKEN is set with your
49# Hugging Face API token.
50api = HfApi()
51
52parser = argparse.ArgumentParser(description='Upload a GGUF model to a Huggingface model repository')
53parser.add_argument('--gguf-model-path', '-m', help='The GGUF model file to upload', required=True)
54parser.add_argument('--repo-id', '-r', help='The repository to upload to', required=True)
55parser.add_argument('--name', '-o', help='The name in the model repository', required=False)
56args = parser.parse_args()
57
58upload_gguf_file(args.gguf_model_path, args.repo_id, args.name)