set client branch to main by default;

remove the concept of base branch (redundant)

cli/convert_model.py

@@ -23,7 +23,6 @@ if __name__ == "__main__":
     parser.add_argument("--torch_dtype", type=str, default="auto", help="Load initial model in this dtype")
     parser.add_argument("--output_path", type=str, default="./converted_model", help="Track output repo to this folder")
     parser.add_argument("--output_repo", type=str, default="bigscience/test-bloomd", help="Push to this HF hub repo")
-    parser.add_argument("--base_branch", type=str, default="main", help="Use this branch as reference point")
     parser.add_argument("--client_branch", type=str, default="client", help="Save client version to this branch")
     parser.add_argument(
         "--block_branch_prefix", type=str, default="block_", help="Save blocks to branches with this prefix"
@@ -65,23 +64,21 @@ if __name__ == "__main__":
         f" - {args.output_repo}@{args.block_branch_prefix}{len(transformer_blocks)}"
     )
     for i, block in enumerate(tqdm(transformer_blocks)):
-        repo.git_checkout(args.base_branch, create_branch_ok=True)
         with repo.commit(
             commit_message=args.commit_message, branch=args.block_branch_prefix + str(i), track_large_files=True
         ):
             torch.save(block.state_dict(), "./pytorch_model.bin")
 
     logger.info(f"Saving client-side modules to {args.output_repo}@{args.client_branch}")
-    repo.git_checkout(args.base_branch, create_branch_ok=True)
+    repo.git_checkout(args.client_branch, create_branch_ok=True)
     with repo.commit(commit_message=args.commit_message, branch=args.client_branch, track_large_files=True):
         model.h = nn.ModuleList()
         model.save_pretrained(".")
-
-    logger.info(f"Saving config and tokenizer to {args.output_repo}@{args.base_branch}")
-
-    repo.git_checkout(args.base_branch, create_branch_ok=True)
-    with repo.commit(commit_message=args.commit_message, branch=args.base_branch, track_large_files=True):
         tokenizer.save_pretrained(".")
         config.save_pretrained(".")
 
+    repo.git_checkout(args.client_branch, create_branch_ok=True)
+    with repo.commit(commit_message=args.commit_message, branch=args.client_branch, track_large_files=True):
+
+
     logger.info(f"Converted {args.model} and pushed to {args.output_repo}")