id: BAAI__bge-m3__candidate
status: candidate
name: bge-m3
org: BAAI
source:
  kind: huggingface
  url: https://huggingface.co/BAAI/bge-m3
  revision: main
  model_card_url: https://huggingface.co/BAAI/bge-m3
license:
  spdx: MIT
  url: https://huggingface.co/BAAI/bge-m3
  allows_offline_retention: true
  allows_local_ops: true
  allows_fine_tune: true
  notes: ""
size:
  total_bytes: 0
  total_human: "~2 GB"
hardware_class:
  min_vram_gb_q4: 1
  min_vram_gb_fp16: 2
  notes: "Runs on CPU comfortably for many workloads"
axes: [B]
priority: high
collection:
  approved_by: ""
  approved_at: null
  downloaded_at: null
  downloaded_by: ""
  storage_path: ""
  brief_refs:
    - research/2026-07-24-baseline-field-survey.md
reason: "P0 multilingual embedding staple for local RAG (docs, ops notes, DE/EN)."
tags: [embedding, multilingual, rag]
companions: []
notes: "Small download — within agent auto-collect band after license check once storage pinned."
history:
  - at: "2026-07-24"
    event: nominated
    by: baseline-survey
    detail: "P0 recommendation from initial deep research."