convert.py: get default outfile

convert.py

@@ -1523,7 +1523,7 @@ def load_vocab(self, vocab_types: list[str] | None, model_parent_path: Path) ->
         return vocab, special_vocab
 
 
-def default_outfile(model_paths: list[Path], file_type: GGMLFileType, params: Params, model_params_count: int, metadata: Metadata) -> Path:
+def default_convention_outfile(file_type: GGMLFileType, params: Params, model_params_count: int, metadata: Metadata) -> str:
     quantization = {
         GGMLFileType.AllF32:    "F32",
         GGMLFileType.MostlyF16: "F16",
@@ -1546,7 +1546,12 @@ def default_outfile(model_paths: list[Path], file_type: GGMLFileType, params: Pa
     elif params.path_model is not None:
         name = params.path_model.name
 
-    ret = model_paths[0].parent / f"{name}{version}-{expert_count}{parameters}-{quantization}.gguf"
+    return f"{name}{version}-{expert_count}{parameters}-{quantization}"
+
+
+def default_outfile(model_paths: list[Path], file_type: GGMLFileType, params: Params, model_params_count: int, metadata: Metadata) -> Path:
+    default_filename = default_convention_outfile(file_type, params, model_params_count, metadata)
+    ret = model_paths[0].parent / f"{default_filename}.gguf"
     if ret in model_paths:
         logger.error(
             f"Error: Default output path ({ret}) would overwrite the input. "
@@ -1585,6 +1590,7 @@ def main(args_in: list[str] | None = None) -> None:
     parser.add_argument("--skip-unknown", action="store_true",    help="skip unknown tensor names instead of failing")
     parser.add_argument("--verbose",      action="store_true",    help="increase output verbosity")
     parser.add_argument("--metadata",     type=Path,              help="Specify the path for a metadata file")
+    parser.add_argument("--get-outfile",  action="store_true",    help="get calculated default outfile name")
 
     args = parser.parse_args(args_in)
 
@@ -1598,6 +1604,16 @@ def main(args_in: list[str] | None = None) -> None:
 
     metadata = Metadata.load(args.metadata)
 
+    if args.get_outfile:
+        logging.basicConfig(level=logging.CRITICAL)
+        model_plus = load_some_model(args.model)
+        params = Params.load(model_plus)
+        model   = convert_model_names(model_plus.model, params, args.skip_unknown)
+        model_params_count = model_parameter_count(model_plus.model)
+        ftype   = pick_output_type(model, args.outtype)
+        print(f"{default_convention_outfile(ftype, params, model_params_count, metadata)}") # noqa: NP100
+        return
+
     if args.no_vocab and args.vocab_only:
         raise ValueError("--vocab-only does not make sense with --no-vocab")