GLM-5 is a large language model released by Zhipu AI (zai-org), released under the MIT license, with a claimed knowledge cutoff of 2025-12-01. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.
Description
Zhipu's GLM-5 generation.
Metadata
Hugging Face stats
150,890 downloads on Hugging Face · 2,122 likes · pipeline: text-generation · library: transformers
Weight Hashes
Weights file
SHA-256d68da5c84e1b66f8ae8969e95ac22261c36c532fe032b39910e63da5b1d5928d
SHA3-256aedd3ac1dd36b678b2a64326ea304826cf7aa453c98627cf6b1230cbe1241f37
BLAKE39f2995a7e2ce95310ca42793f553b4bcbd6fb59042712d3c1e0d99f9433cb2fe
Config file
SHA-256308d3ceebe7bd9c2246d20550d5b793098dd03838d1e504f8236063ae152bcae
SHA3-2564ea0b8dd7f2fc766f0e349d608be9729156dcbd899b5437f132252c97c9ba3a0
BLAKE361db02e59f3e25cca45308c6ba1649b68e79efadec26260270fae168746321d0
Tokenizer file
SHA-25619e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
SHA3-256a3539041a2669ebeacaeac71a0b34dcc38f54933f78d7c3c8c7634a483bbabf3
BLAKE395875d64ad7f0287b7c4c3ac262475aff876301b4d71c31a939496f92d0a4836
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.