InternLM2-7b is a large language model released by Shanghai AI Lab, released under the other license, with a claimed knowledge cutoff of 2024-01-17. Its weights, configuration, and tokenizer files have been cryptographically hashed and permanently attested on Ethereum (Sepolia) by Weight Registry.
Description
Shanghai AI Lab's open LLM series.
Metadata
Hugging Face stats
24,663 downloads on Hugging Face · 43 likes · pipeline: text-generation · library: transformers
Weight Hashes
Combined commitment: a Merkle root over the weights, config, and tokenizer hashes together (not a raw weights-only hash) -- see this project's v2 on-chain schema.
Combined SHA-2560x54d2e30f973663f57be815971987de313087d0e295cd8922025eb46e6ca65b41
Combined SHA3-2560x21f405353619017e539164d51e5210d8d929869bb5ef5d10b773deed8c3e4fcb
Combined BLAKE30x75b466cde189a77adcb554c40632355bbb63b672998d9b9802757af16f652fa9
Per-file breakdown
Computed locally prior to attestation; the combined hash above is the canonical on-chain commitment.
Config file
SHA-2564370f2f011a54dac704297093b8501f0f59917e61f45461f9bdc2839211e9359
SHA3-256cba085a5fbfff715e8be11cc134bb52100ea439e056cadfbf5fd19812434f930
BLAKE33def9ae96cd29df8cec7a66e5aa7ed4aec4c5fe5a6953562b26e3584dc41f4fd
Tokenizer file
SHA-256f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
SHA3-256e6307585e2ca1cd7ffa1bb957830edbc7c1a79554ebf5873143d281f440a7051
BLAKE34bbc9a8b32de761650d55854384a59b312884d7a3fa5a7a99392b6f20d716eef
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.