Kimi-K2-Instruct-0905 is a large language model released by Moonshot AI, released under the other license, with a claimed knowledge cutoff of 2024-12-31. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.
Description
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Metadata
Hugging Face stats
60,550 downloads on Hugging Face · 789 likes · pipeline: text-generation · library: transformers
Weight Hashes
Weights file
SHA-25648e621c1d1473e09937ac373bb042a41164717ae604252c459025534ac45e4c9
SHA3-2565272ffbd484921d7d39623d311532a55284fd36160838dd77190e5ca904c6ec6
BLAKE32f0f3546a014b8b99ec6630973218ccf29093b8c753b92a9e4388d4a1fc4820b
Config file
SHA-2564cd10b0f3cb1c1dfdbfcdd2f303057500f570b24f671ce5eb7650b6a511807cc
SHA3-256554d8d2c2388db28447aa0a6ad02f963c357d7abdeea8e372ff0e8eb6e0de247
BLAKE314f9ba140ff446404c8a9696f54328e68c471e0f6bbcbd09bfab73da34ba81b0
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
- multiple unrecognized .safetensors candidates, none canonical or variant-tagged: ['model-00001-of-000062.safetensors', 'model-00002-of-000062.safetensors', 'model-00003-of-000062.safetensors', 'model-00004-of-000062.safetensors', 'model-00005-of-000062.safetensors', 'model-00006-of-000062.safetensors', 'model-00007-of-000062.safetensors', 'model-00008-of-000062.safetensors', 'model-00009-of-000062.safetensors', 'model-00010-of-000062.safetensors', 'model-00011-of-000062.safetensors', 'model-00012-of-000062.safetensors', 'model-00013-of-000062.safetensors', 'model-00014-of-000062.safetensors', 'model-00015-of-000062.safetensors', 'model-00016-of-000062.safetensors', 'model-00017-of-000062.safetensors', 'model-00018-of-000062.safetensors', 'model-00019-of-000062.safetensors', 'model-00020-of-000062.safetensors', 'model-00021-of-000062.safetensors', 'model-00022-of-000062.safetensors', 'model-00023-of-000062.safetensors', 'model-00024-of-000062.safetensors', 'model-00025-of-000062.safetensors', 'model-00026-of-000062.safetensors', 'model-00027-of-000062.safetensors', 'model-00028-of-000062.safetensors', 'model-00029-of-000062.safetensors', 'model-00030-of-000062.safetensors', 'model-00031-of-000062.safetensors', 'model-00032-of-000062.safetensors', 'model-00033-of-000062.safetensors', 'model-00034-of-000062.safetensors', 'model-00035-of-000062.safetensors', 'model-00036-of-000062.safetensors', 'model-00037-of-000062.safetensors', 'model-00038-of-000062.safetensors', 'model-00039-of-000062.safetensors', 'model-00040-of-000062.safetensors', 'model-00041-of-000062.safetensors', 'model-00042-of-000062.safetensors', 'model-00043-of-000062.safetensors', 'model-00044-of-000062.safetensors', 'model-00045-of-000062.safetensors', 'model-00046-of-000062.safetensors', 'model-00047-of-000062.safetensors', 'model-00048-of-000062.safetensors', 'model-00049-of-000062.safetensors', 'model-00050-of-000062.safetensors', 'model-00051-of-000062.safetensors', 'model-00052-of-000062.safetensors', 'model-00053-of-000062.safetensors', 'model-00054-of-000062.safetensors', 'model-00055-of-000062.safetensors', 'model-00056-of-000062.safetensors', 'model-00057-of-000062.safetensors', 'model-00058-of-000062.safetensors', 'model-00059-of-000062.safetensors', 'model-00060-of-000062.safetensors', 'model-00061-of-000062.safetensors', 'model-00062-of-000062.safetensors']. Picked 'model-00061-of-000062.safetensors', by real file size (largest wins): [('model-00061-of-000062.safetensors', 17066595576), ('model-00060-of-000062.safetensors', 17066595576), ('model-00059-of-000062.safetensors', 17066595576), ('model-00058-of-000062.safetensors', 17066595576), ('model-00057-of-000062.safetensors', 17066595576), ('model-00056-of-000062.safetensors', 17066595576), ('model-00055-of-000062.safetensors', 17066595576), ('model-00054-of-000062.safetensors', 17066595576), ('model-00053-of-000062.safetensors', 17066595576), ('model-00052-of-000062.safetensors', 17066595576), ('model-00051-of-000062.safetensors', 17066595576), ('model-00050-of-000062.safetensors', 17066595576), ('model-00049-of-000062.safetensors', 17066595576), ('model-00048-of-000062.safetensors', 17066595576), ('model-00047-of-000062.safetensors', 17066595576), ('model-00046-of-000062.safetensors', 17066595576), ('model-00045-of-000062.safetensors', 17066595576), ('model-00044-of-000062.safetensors', 17066595576), ('model-00043-of-000062.safetensors', 17066595576), ('model-00042-of-000062.safetensors', 17066595576), ('model-00041-of-000062.safetensors', 17066595576), ('model-00040-of-000062.safetensors', 17066595576), ('model-00039-of-000062.safetensors', 17066595576), ('model-00038-of-000062.safetensors', 17066595576), ('model-00037-of-000062.safetensors', 17066595576), ('model-00036-of-000062.safetensors', 17066595576), ('model-00035-of-000062.safetensors', 17066595576), ('model-00034-of-000062.safetensors', 17066595576), ('model-00033-of-000062.safetensors', 17066595576), ('model-00032-of-000062.safetensors', 17066595576), ('model-00031-of-000062.safetensors', 17066595576), ('model-00030-of-000062.safetensors', 17066595576), ('model-00029-of-000062.safetensors', 17066595576), ('model-00028-of-000062.safetensors', 17066595576), ('model-00027-of-000062.safetensors', 17066595576), ('model-00026-of-000062.safetensors', 17066595576), ('model-00025-of-000062.safetensors', 17066595576), ('model-00024-of-000062.safetensors', 17066595576), ('model-00023-of-000062.safetensors', 17066595576), ('model-00022-of-000062.safetensors', 17066595576), ('model-00021-of-000062.safetensors', 17066595576), ('model-00020-of-000062.safetensors', 17066595576), ('model-00019-of-000062.safetensors', 17066595576), ('model-00018-of-000062.safetensors', 17066595576), ('model-00017-of-000062.safetensors', 17066595576), ('model-00016-of-000062.safetensors', 17066595576), ('model-00015-of-000062.safetensors', 17066595576), ('model-00014-of-000062.safetensors', 17066595576), ('model-00013-of-000062.safetensors', 17066595576), ('model-00012-of-000062.safetensors', 17066595576), ('model-00011-of-000062.safetensors', 17066595576), ('model-00010-of-000062.safetensors', 17066593248), ('model-00009-of-000062.safetensors', 17066593248), ('model-00008-of-000062.safetensors', 17066593248), ('model-00007-of-000062.safetensors', 17066593248), ('model-00006-of-000062.safetensors', 17066593248), ('model-00005-of-000062.safetensors', 17066593248), ('model-00004-of-000062.safetensors', 17066593248), ('model-00003-of-000062.safetensors', 17066593248), ('model-00002-of-000062.safetensors', 17066593248), ('model-00062-of-000062.safetensors', 4697635112), ('model-00001-of-000062.safetensors', 497640784)] -- VERIFY
- no recognized tokenizer file found in repo
- sharding signals disagree: index file present=True, filename pattern matched=False -- picked whichever signal is available, but this repo's layout is unusual
- found model.safetensors.index.json but shard filenames didn't match the expected NNNNN-of-NNNNN pattern -- fell back to sorting all .safetensors files, verify manually