Register reserve under agents hub and pin VAULT storage.

Classify freedom-intelligence for State Hub (agents domain), sync FI-WP-0001..0003 with hub IDs, enrich catalog entries with profile/SWOT, and pin the open-weight reserve to D:\vault\coulomb\freedom-intelligence\ with strategic S-tier policy.

inventory/catalog/Qwen__Qwen3-72B__strategic.yaml

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+id: Qwen__Qwen3-72B__strategic
+status: candidate
+name: Qwen3-72B
+org: Qwen
+source:
+  kind: huggingface
+  url: https://huggingface.co/Qwen/Qwen3-72B
+  revision: main
+  model_card_url: https://huggingface.co/Qwen/Qwen3-72B
+  project_url: https://qwenlm.github.io/
+license:
+  spdx: Apache-2.0
+  url: https://huggingface.co/Qwen/Qwen3-72B
+  allows_offline_retention: true
+  allows_local_ops: true
+  allows_fine_tune: true
+  notes: "Confirm card; use Instruct/Coder sibling if that is the capability peak for the line."
+profile:
+  summary: "Strategic large Qwen dense — multilingual/tool open 70B-class reserve."
+  original_source: https://huggingface.co/Qwen/Qwen3-72B
+  use_cases:
+    - "Future multi-GPU dense instruct without MoE serving complexity"
+    - "Strong multilingual (DE/EN) offline assistant at 70B scale"
+    - "Domain FT base when 8B/14B capacity is too small"
+    - "Dense alternative to MoE giants for portable lab stacks"
+  sweet_spots:
+    - "S4 dense open with Qwen tooling continuity from the R 8B default"
+    - "Easier multi-GPU dense serve story than 600B MoE"
+    - "Apache-friendly licensing typical of Qwen3 line"
+  not_ideal_for:
+    - "Current default single-GPU ops"
+    - "Collecting both this and Llama-70B-class first under tight quota"
+    - "Embedding / retrieval"
+  capability_notes: >
+    Large dense strategic pick. Prefer Instruct/Coder sibling if that is the line
+    peak at pin time. If soft quota is tight after S1, pick at most one of
+    Qwen-72B vs Llama-70B-class first.
+swot:
+  strengths:
+    - "High multilingual dense quality in open 70B class"
+    - "Same family as R-tier Qwen3-8B — transfer of prompts/tools"
+    - "Usually simpler ops than giant MoE"
+  weaknesses:
+    - "~40–150 GiB depending on quant; still heavy"
+    - "May lag top MoE on some frontier-open benches"
+  opportunities:
+    - "First dense strategic fill after R + optional S1 compressed"
+    - "FT / LoRA at 70B when facility upgrades"
+  threats:
+    - "Llama 70B / next Qwen large may be better use of same bytes"
+    - "Supersession by Qwen next large release"
+size:
+  total_bytes: 0
+  total_human: "~145 GB fp16 / ~40 GB Q4 (estimate)"
+hardware_class:
+  min_vram_gb_q4: 40
+  min_vram_gb_fp16: 145
+  notes: "T3+ to run; strategic dense multilingual open."
+axes: [A, B, C]
+priority: high
+collection:
+  approved_by: ""
+  approved_at: null
+  downloaded_at: null
+  downloaded_by: ""
+  storage_path: ""
+  brief_refs:
+    - research/2026-07-24-nas-strategic-collection-plan.md
+    - docs/decisions/2026-07-24-nas-strategic-reserve.md
+reason: "S4 strategic — large Qwen dense open for multilingual/tool capability reserve."
+tags: [tier-s, strategic, dense, qwen3]
+companions:
+  - Qwen__Qwen3-8B__candidate
+notes: "Pick at most one of Llama-70B-class vs Qwen-72B-class first if quota tight after S1 MoE."
+history:
+  - at: "2026-07-24"
+    event: nominated
+    by: operator-policy
+    detail: "Strategic dense open for NAS."
+  - at: "2026-07-28"
+    event: profile_swot_added
+    by: grok
+    detail: "schema 0.2 profile + SWOT."