use safetensors for the latest plamo-13b repo

convert-plamo-hf-to-gguf.py

@@ -8,11 +8,18 @@
 import gguf
 from sentencepiece import SentencePieceProcessor  # type: ignore[import]
 
+try:
+    from safetensors import safe_open
+except ImportError:
+    print("Please install `safetensors` python package")
+    sys.exit(1)
+
 
 def count_model_parts(dir_model: Path) -> int:
+    # get number of model parts
     num_parts = 0
     for filename in os.listdir(dir_model):
-        if filename.startswith("pytorch_model-"):
+        if filename.startswith("model-00"):
             num_parts += 1
 
     if num_parts > 0:
@@ -161,22 +168,22 @@ def parse_args() -> argparse.Namespace:
 print("gguf: get tensor metadata")
 
 if num_parts == 0:
-    part_names = iter(("pytorch_model.bin",))
+    part_names = iter(("model.safetensors",))
 else:
     part_names = (
-        f"pytorch_model-{n:05}-of-{num_parts:05}.bin" for n in range(1, num_parts + 1)
+        f"model-{n:05}-of-{num_parts:05}.safetensors" for n in range(1, num_parts + 1)
     )
 
 for part_name in part_names:
     if args.vocab_only:
         break
     print("gguf: loading model part '" + part_name + "'")
-    model_part = torch.load(dir_model / part_name, map_location="cpu")
+    model_part = safe_open(dir_model / part_name, framework="pt")
 
     for name in model_part.keys():
         if "self_attn.rotary_emb.inv_freq" in name:
             continue
-        data = model_part[name]
+        data = model_part.get_tensor(name)
 
         old_dtype = data.dtype