# Keynote-Technology/KAI-7B-v0.1

Model from Hugging Face for text generation: Keynote-Technology/KAI-7B-v0.1 · transformers

## Facts

- Type: LLM
- Task: text-generation
- Framework: transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/Keynote-Technology/KAI-7B-v0.1
- Hosting: hosted (3 files)
- Files: 3 hosted of 17 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: at least 3 listed files; full count and size unknown
- Full repo upstream: 29.5 GB
- Parameters: 7B
- Download: https://huggingbay.xyz/artifact/hf-model-keynote-technology-kai-7b-v0-1/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/download-plan)
- Per-file SHA-256: available for 3 of 3 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 215
- Stars: 13
- Card completeness: 96%

## Description

External Hugging Face catalog record for Keynote-Technology/KAI-7B-v0.1. Task: text generation. Library: transformers. Languages: en. Datasets referenced by card metadata: Keynote-Technology/PLANE-2K, togethercomputer/RedPajama-Data-V2. Files we host have a published SHA-256.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-generation
- Library: transformers
- Task categories: text-generation
- Languages: en
- Referenced datasets: Keynote-Technology/PLANE-2K, togethercomputer/RedPajama-Data-V2
- File hints: 14 upstream file samples

## Referenced Data

- Dataset: Keynote-Technology/PLANE-2K
- Dataset: togethercomputer/RedPajama-Data-V2

## File Hints

- .gitattributes (1.5 KB)
- README.md (2.4 KB)
- config.json (571 B)
- generation_config.json (116 B)
- model-00001-of-00002.safetensors (9.3 GB) LFS
- model-00002-of-00002.safetensors (4.2 GB) LFS
- model.safetensors.index.json (25 KB)
- pytorch_model-00001-of-00002.bin (9.3 GB) LFS
- pytorch_model-00002-of-00002.bin (4.7 GB) LFS
- pytorch_model.bin.index.json (23 KB)
- special_tokens_map.json (72 B)
- tokenizer.json (1.7 MB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: pending
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-10-10T09:07:51.914Z.
- Upstream License: apache-2.0. Mirror admission policy: permissive (owner policy; no license rights inferred).
- Model card references dataset context: Keynote-Technology/PLANE-2K, togethercomputer/RedPajama-Data-V2.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-keynote-technology-kai-7b-v0-1
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-keynote-technology-kai-7b-v0-1
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-keynote-technology-kai-7b-v0-1&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-keynote-technology-kai-7b-v0-1/decentralized-fallbacks