GLM-4.7 is a large language model released by Zhipu AI (zai-org), released under the MIT license, with a claimed knowledge cutoff of 2025-11-01. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.
Description
Later GLM-4.x checkpoint.
Metadata
Hugging Face stats
103,539 downloads on Hugging Face · 2,056 likes · pipeline: text-generation · library: transformers
Weight Hashes
Weights file
SHA-2562e90519680e453c7bccd0a344c4b6289482ba378df1818654e17b4b8ee32896f
SHA3-2562380a9848312e81594ce847636a8e8c90655f96a32303d10c95932557cda29d1
BLAKE369c970990e6a90d5d01871ab99e29379e7346215522aaeecbb9b79eb323d3135
Config file
SHA-256f713924a536ac1965d8af2a3144d3a0ce0acae94f0fbfd7407240cbafcb08c53
SHA3-256554aeeb55ea0c86ce60c0e6b2dfeaef9df6691500cfa9665b4e85b1ecb94d215
BLAKE31bb7e56aa97b6c6d7c4c0446de5d762cf8f42a9c052ed50a03a55e9daf98227e
Tokenizer file
SHA-2569340665016419c825c4bdabbcc9acc43b7ca2c68ce142724afa829abb1be5efd
SHA3-2560030773d3a3b84cfee397f98b289a7ebaa20e8b6d3707719f596c77f8031b317
BLAKE3ce097ff5c5a465244c42eab34b0c09e298c17bebaab2fd6bef354d5bd501a683
Verify it yourself
Download the file(s) from the source below, then hash them locally (sha256sum <file> on Linux/macOS, certutil -hashfile <file> SHA256 on Windows) and compare the output against the hash(es) shown above.
Anomalies Flagged
- other weight-like files present but not hashed: ['mtp.safetensors']