Jamba-v0.1 is a large language model released by AI21 Labs, released under the Apache-2.0 license, with a claimed knowledge cutoff of 2024-03-28. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.
Description
AI21 Labs' hybrid Transformer-Mamba architecture, combining attention layers with more compute-efficient state-space blocks.
Metadata
Hugging Face stats
8,409 downloads on Hugging Face · 1,194 likes · pipeline: text-generation · library: transformers
Weight Hashes
Weights file
SHA-256b7a1ce18d692af2d7dfff748810bfe7a26e5c1e06b4016957db0ffab66f03eb2
SHA3-25672674aeb1ebb8798b12060072513bfd94b2ec9c185e0aa3d833954d14aca8624
BLAKE3963b38db599c3635b4c5e99d73ce91b6338322f7c0b029f3a3c698ed002c311e
Config file
SHA-25698d005b3bdb7b4d3104ed3f8e6e8e45fa484846703012a11010d43aad768e984
SHA3-256887b3c2b9263cddfb471ab8e2e0f48451c128d4ff5b4cb0cf94c0041420fcf5c
BLAKE32de9f122d9521b4ba2797dde85ae7ba79b0635bb60c06ad8f2a4c70780b7ab08
Tokenizer file
SHA-256168522c4bc2db021984eb9ec0534b2421adee443b7fc038ed2ff8c36e934096a
SHA3-2563bdd36f31a04ff4b93a1c31d8fb694b1704d6dda321b78555de8b984cf0edad6
BLAKE3b4985b0cc15462551ec36b703c34927fc9f17c8c717d3f9656e5b07af9f8cf33
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.