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/meta-llama__Llama-3.2-3B-Instruct__candidate.yaml

@@ -7,6 +7,7 @@ source:
   url: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
   revision: main
   model_card_url: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
+  project_url: https://www.llama.com/
 license:
   spdx: custom
   url: https://ai.meta.com/llama/license/
@@ -14,6 +15,41 @@ license:
   allows_local_ops: true
   allows_fine_tune: true
   notes: "Llama Community License — not MIT; review terms before commercial redistribution."
+profile:
+  summary: "Tiny edge instruct for always-on and low-VRAM agent micro-services."
+  original_source: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
+  use_cases:
+    - "Always-on local helper with minimal power/VRAM"
+    - "Fast classification, routing, and short-form rewrites"
+    - "CPU or 4–8 GB GPU edge boxes"
+    - "Smoke-test harnesses before promoting to 8B+"
+    - "Embedded tooling demos and offline kiosks"
+  sweet_spots:
+    - "Latency and footprint over peak intelligence"
+    - "Huge Llama ecosystem (llama.cpp, Ollama, many templates)"
+    - "Cheap parallel micro-agents in a fleet"
+  not_ideal_for:
+    - "Serious coding or long documents"
+    - "Domain FT when quality matters (prefer 8B base)"
+    - "Standalone reasoning-heavy ops decisions"
+  capability_notes: >
+    Compact Meta instruct model. Best as a floor for local intelligence and
+    high-volume simple tasks, not as the lab's primary brain.
+swot:
+  strengths:
+    - "Very small; runs almost anywhere in the lab"
+    - "Massive tooling and community template coverage"
+    - "Good enough for structured short outputs"
+  weaknesses:
+    - "Shallow capability; fails hard tasks silently if not constrained"
+    - "Custom Llama license (not pure OSS-permissive)"
+    - "HF gated access friction"
+  opportunities:
+    - "Fleet of specialized tiny adapters per workflow"
+    - "Guardrail / router model in front of larger backends"
+  threats:
+    - "Qwen/Gemma/Smol peers may outclass at same size"
+    - "License or regional policy changes for Llama family"
 size:
   total_bytes: 0
   total_human: "~6 GB fp16 / ~2 GB Q4 (estimate)"
@@ -31,8 +67,8 @@ collection:
   storage_path: ""
   brief_refs:
     - research/2026-07-24-baseline-field-survey.md
-reason: "P0 edge instruct — tiny, huge ecosystem, good CPU/GPU floor for agents."
-tags: [instruct, edge, llama]
+reason: "P0/R edge instruct — tiny, huge ecosystem, good CPU/GPU floor for agents."
+tags: [tier-r, instruct, edge, llama]
 companions: []
 notes: "HF gated model — need accepted license on account before download."
 history:
@@ -40,3 +76,7 @@ history:
     event: nominated
     by: baseline-survey
     detail: "P0 recommendation from initial deep research."
+  - at: "2026-07-24"
+    event: profile_swot_added
+    by: grok
+    detail: "schema 0.2 profile + SWOT."