WEIGHT REGISTRY

MiniMax-M2.7 is a large language model released by MiniMax AI, released under the other license, with a claimed knowledge cutoff of 2026-04-01. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.

Description

Metadata

Type

LLM

Issuer

MiniMax AI

License

other

Size

214.33 GB

Knowledge cutoff

2026-04-01

Source

https://huggingface.co/MiniMaxAI/MiniMax-M2.7

Revision

d494266a4affc0d2995ba1fa35c8481cbd84294b

Hugging Face stats

1,237,573 downloads on Hugging Face · 1,246 likes · pipeline: text-generation · library: transformers

Weight Hashes

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

• filename declares 130 shards (of-00130) but found 125 files matching the pattern: ['model-00000-of-00130.safetensors', 'model-00001-of-00130.safetensors', 'model-00002-of-00130.safetensors', 'model-00003-of-00130.safetensors', 'model-00004-of-00130.safetensors', 'model-00005-of-00130.safetensors', 'model-00006-of-00130.safetensors', 'model-00007-of-00130.safetensors', 'model-00008-of-00130.safetensors', 'model-00009-of-00130.safetensors', 'model-00010-of-00130.safetensors', 'model-00011-of-00130.safetensors', 'model-00012-of-00130.safetensors', 'model-00013-of-00130.safetensors', 'model-00014-of-00130.safetensors', 'model-00015-of-00130.safetensors', 'model-00016-of-00130.safetensors', 'model-00017-of-00130.safetensors', 'model-00018-of-00130.safetensors', 'model-00019-of-00130.safetensors', 'model-00020-of-00130.safetensors', 'model-00021-of-00130.safetensors', 'model-00022-of-00130.safetensors', 'model-00023-of-00130.safetensors', 'model-00024-of-00130.safetensors', 'model-00025-of-00130.safetensors', 'model-00026-of-00130.safetensors', 'model-00027-of-00130.safetensors', 'model-00028-of-00130.safetensors', 'model-00029-of-00130.safetensors', 'model-00030-of-00130.safetensors', 'model-00031-of-00130.safetensors', 'model-00032-of-00130.safetensors', 'model-00033-of-00130.safetensors', 'model-00034-of-00130.safetensors', 'model-00035-of-00130.safetensors', 'model-00036-of-00130.safetensors', 'model-00037-of-00130.safetensors', 'model-00038-of-00130.safetensors', 'model-00039-of-00130.safetensors', 'model-00040-of-00130.safetensors', 'model-00041-of-00130.safetensors', 'model-00042-of-00130.safetensors', 'model-00043-of-00130.safetensors', 'model-00044-of-00130.safetensors', 'model-00045-of-00130.safetensors', 'model-00046-of-00130.safetensors', 'model-00047-of-00130.safetensors', 'model-00048-of-00130.safetensors', 'model-00049-of-00130.safetensors', 'model-00050-of-00130.safetensors', 'model-00051-of-00130.safetensors', 'model-00052-of-00130.safetensors', 'model-00053-of-00130.safetensors', 'model-00054-of-00130.safetensors', 'model-00055-of-00130.safetensors', 'model-00056-of-00130.safetensors', 'model-00057-of-00130.safetensors', 'model-00058-of-00130.safetensors', 'model-00059-of-00130.safetensors', 'model-00060-of-00130.safetensors', 'model-00061-of-00130.safetensors', 'model-00062-of-00130.safetensors', 'model-00063-of-00130.safetensors', 'model-00064-of-00130.safetensors', 'model-00065-of-00130.safetensors', 'model-00066-of-00130.safetensors', 'model-00067-of-00130.safetensors', 'model-00068-of-00130.safetensors', 'model-00069-of-00130.safetensors', 'model-00070-of-00130.safetensors', 'model-00071-of-00130.safetensors', 'model-00072-of-00130.safetensors', 'model-00073-of-00130.safetensors', 'model-00074-of-00130.safetensors', 'model-00075-of-00130.safetensors', 'model-00076-of-00130.safetensors', 'model-00077-of-00130.safetensors', 'model-00078-of-00130.safetensors', 'model-00079-of-00130.safetensors', 'model-00080-of-00130.safetensors', 'model-00081-of-00130.safetensors', 'model-00082-of-00130.safetensors', 'model-00083-of-00130.safetensors', 'model-00084-of-00130.safetensors', 'model-00085-of-00130.safetensors', 'model-00086-of-00130.safetensors', 'model-00087-of-00130.safetensors', 'model-00088-of-00130.safetensors', 'model-00089-of-00130.safetensors', 'model-00090-of-00130.safetensors', 'model-00091-of-00130.safetensors', 'model-00092-of-00130.safetensors', 'model-00093-of-00130.safetensors', 'model-00094-of-00130.safetensors', 'model-00095-of-00130.safetensors', 'model-00096-of-00130.safetensors', 'model-00097-of-00130.safetensors', 'model-00098-of-00130.safetensors', 'model-00099-of-00130.safetensors', 'model-00100-of-00130.safetensors', 'model-00101-of-00130.safetensors', 'model-00102-of-00130.safetensors', 'model-00103-of-00130.safetensors', 'model-00104-of-00130.safetensors', 'model-00105-of-00130.safetensors', 'model-00106-of-00130.safetensors', 'model-00107-of-00130.safetensors', 'model-00108-of-00130.safetensors', 'model-00109-of-00130.safetensors', 'model-00110-of-00130.safetensors', 'model-00111-of-00130.safetensors', 'model-00112-of-00130.safetensors', 'model-00113-of-00130.safetensors', 'model-00114-of-00130.safetensors', 'model-00115-of-00130.safetensors', 'model-00116-of-00130.safetensors', 'model-00117-of-00130.safetensors', 'model-00118-of-00130.safetensors', 'model-00119-of-00130.safetensors', 'model-00120-of-00130.safetensors', 'model-00121-of-00130.safetensors', 'model-00122-of-00130.safetensors', 'model-00123-of-00130.safetensors', 'model-00124-of-00130.safetensors'] -- verify manually

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