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On-Chain

Mistral-7B-Instruct-v0.1 (2023)

Mistral-7B-Instruct-v0.1 is a large language model released by Mistral AI, released under the apache-2.0 license, with a claimed knowledge cutoff of 2023-09-27. Its weights, configuration, and tokenizer files have been cryptographically hashed and permanently attested on Ethereum (Sepolia) by Weight Registry.

Description

Original instruction-tuned Mistral 7B release.

Metadata

Type
LLM
Issuer
Mistral AI
License
apache-2.0
Size
13.49 GB
Knowledge cutoff
2023-09-27
Source
https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1
Revision
ec5deb64f2c6e6fa90c1abf74a91d5c93a9669ca
Attester
0x6a94784135e413A474E6fA28d1A36C5d180B70c9

Hugging Face stats

160,517 downloads on Hugging Face · 1,851 likes · pipeline: text-generation · library: transformers

transformerspytorchsafetensorsmistraltext-generationfinetunedmistral-commonconversationaleval-resultstext-generation-inference

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-2560x49b458ea48dc0a5c0ca1c0289175ad85b55996543e058c5f60136180e66b402b
Combined SHA3-2560x54e815e68c83aedff50f19f6466dca0bba161d092023304dd9530be72b8d5e9b
Combined BLAKE30x709bc48d78b2278b0d29a2dbf3a095c61a78d4c13923f33a1942835f17c80fcb

Per-file breakdown

Computed locally prior to attestation; the combined hash above is the canonical on-chain commitment.

Config file
config.json · 571 B
SHA-256cf25cdf4719f181d1d1d371973285d9afe9afde0d0c6a6fd48de857555ce1e0d
SHA3-2565f4ce1355846a776ce13eee193f3a552eb2c61140399d7c605ef05eb78619968
BLAKE3c3b53a834918949302eae3b689506b4cd2791b14f0522d0b0299464f074f58ca
Tokenizer file
tokenizer.json · 1.71 MB
SHA-25611c08db21487c885d8c792180f0be237f6a261b89a46f128a6a80a3aa4bd1720
SHA3-2560e81dce2e2032ac2dfc26adf7a1fe0f6a685569971191e5b2968a81c1b3c10f5
BLAKE30d8c8f93f99c57d58d54ea6c81562579dd5a04de4bd1f8ff900250ec69b34a0e

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.