1 files changed, 102 insertions, 0 deletions
diff --git a/gguf-py/scripts/gguf_hash.py b/gguf-py/scripts/gguf_hash.py
new file mode 100755
index 00000000..ee34d09b
--- /dev/null
+++ b/gguf-py/scripts/gguf_hash.py
@@ -0,0 +1,102 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import uuid
+import hashlib
+
+import logging
+import argparse
+import os
+import sys
+from pathlib import Path
+
+from tqdm import tqdm
+
+# Necessary to load the local gguf package
+if "NO_LOCAL_GGUF" not in os.environ and (Path(__file__).parent.parent.parent / 'gguf-py').exists():
+    sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from gguf import GGUFReader  # noqa: E402
+
+
+logger = logging.getLogger("gguf-hash")
+
+# UUID_NAMESPACE_LLAMA_CPP = uuid.uuid5(uuid.NAMESPACE_URL, 'en.wikipedia.org/wiki/Llama.cpp')
+UUID_NAMESPACE_LLAMA_CPP = uuid.UUID('ef001206-dadc-5f6d-a15f-3359e577d4e5')
+
+
+# For more information about what field.parts and field.data represent,
+# please see the comments in the modify_gguf.py example.
+def gguf_hash(reader: GGUFReader, filename: str, disable_progress_bar: bool, no_layer: bool) -> None:
+    sha1 = hashlib.sha1()
+    sha256 = hashlib.sha256()
+    uuidv5_sha1 = hashlib.sha1()
+    uuidv5_sha1.update(UUID_NAMESPACE_LLAMA_CPP.bytes)
+
+    # Total Weight Calculation For Progress Bar
+    total_weights = 0
+    for n, tensor in enumerate(reader.tensors, 1):
+
+        # We don't need these
+        if tensor.name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")):
+            continue
+
+        # Calculate Tensor Volume
+        sum_weights_in_tensor = 1
+        for dim in tensor.shape:
+            sum_weights_in_tensor *= dim
+        total_weights += sum_weights_in_tensor
+
+    # Hash Progress Bar
+    bar = tqdm(desc="Hashing", total=total_weights, unit="weights", unit_scale=True, disable=disable_progress_bar)
+
+    # Hashing Process
+    for tensor in reader.tensors:
+
+        # We don't need these
+        if tensor.name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")):
+            continue
+
+        # Progressbar
+        sum_weights_in_tensor = 1
+        for dim in tensor.shape:
+            sum_weights_in_tensor *= dim
+        bar.update(sum_weights_in_tensor)
+
+        if not no_layer:
+
+            sha1_layer = hashlib.sha1()
+            sha1_layer.update(tensor.data.data)
+            print("sha1      {0}  {1}:{2}".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
+
+            sha256_layer = hashlib.sha256()
+            sha256_layer.update(tensor.data.data)
+            print("sha256    {0}  {1}:{2}".format(sha256_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
+
+        sha1.update(tensor.data.data)
+        sha256.update(tensor.data.data)
+        uuidv5_sha1.update(tensor.data.data)
+
+    # Flush Hash Progress Bar
+    bar.close()
+
+    # Display Hash Output
+    print("sha1      {0}  {1}".format(sha1.hexdigest(), filename)) # noqa: NP100
+    print("sha256    {0}  {1}".format(sha256.hexdigest(), filename)) # noqa: NP100
+    print("uuid      {0}  {1}".format(uuid.UUID(bytes=uuidv5_sha1.digest()[:16], version=5), filename)) # noqa: NP100
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Dump GGUF file metadata")
+    parser.add_argument("model",         type=str,            help="GGUF format model filename")
+    parser.add_argument("--no-layer",    action="store_true", help="exclude per layer hash")
+    parser.add_argument("--verbose",     action="store_true", help="increase output verbosity")
+    parser.add_argument("--progressbar", action="store_true", help="enable progressbar")
+    args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"])
+    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
+    reader = GGUFReader(args.model, 'r')
+    gguf_hash(reader, args.model, not args.progressbar, args.no_layer)
+
+
+if __name__ == '__main__':
+    main()