Catch up field brief, catalog Kimi K3, and wire live daily recurrence.

Add 2026-08-03 week catch-up brief with Kimi K3 as S1 strategic (collection
deferred on ~1454 GiB vs 850 GiB soft quota), document recurrence ops, and add a
workstation due-notice consumer cron helper. Production schedule was applied to
railiance ConfigMap and Temporal (weekdays 07:30 Europe/Berlin).
This commit is contained in:
tegwick 2026-08-03 17:37:53 +02:00
parent 441de11a3e
commit 70cbfe0c6c
10 changed files with 389 additions and 38 deletions

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# Open-weight reserve status
**As of:** 2026-07-28
**As of:** 2026-08-03
**Store:** `/mnt/d/vault/coulomb/freedom-intelligence/` (`D:\vault\coulomb\freedom-intelligence\`)
**Soft quota:** 850 GiB · **Hard stop:** 920 GiB
@ -10,15 +10,13 @@
| Class | Count | Status mix |
| ----- | ----: | ---------- |
| Catalog entries | 12 | see table |
| Catalog entries | 13 | + Kimi K3 S1 |
| **verified** on disk | 4 | R embeds + Qwen3-8B + R1-Distill-14B |
| **approved** (pull deferred) | S giants + Llama edge | capacity / HF gate |
| **approved** (pull deferred) | S giants + Llama edge + **Kimi K3** | capacity / HF gate |
| **candidate** (W) | 3 | headroom-gated |
### Disk use (model tree)
Run: `du -sh /mnt/d/vault/coulomb/freedom-intelligence/models`
| Path | Role | Approx |
| ---- | ---- | ------ |
| `models/nomic-ai__nomic-embed-text-v1.5/main` | R embed | ~0.5 GiB verified |
@ -26,26 +24,29 @@ Run: `du -sh /mnt/d/vault/coulomb/freedom-intelligence/models`
| `models/Qwen__Qwen3-8B/main` | R instruct | ~15.3 GiB verified |
| `models/deepseek-ai__DeepSeek-R1-Distill-Qwen-14B/main` | R reason | ~27.5 GiB verified |
**~45 GiB** of soft 850 GiB used by verified R spine → **~800+ GiB** headroom for S.
**~45 GiB** used → **~800+ GiB** soft-quota headroom (insufficient for full Kimi K3 ~1454 GiB).
VAULT free (2026-08-03): ~1.7 TB free of 1.9 TB — full K3 would still dominate the volume and **violate soft quota**.
---
## Decision matrix (2026-07-28)
## Decision matrix (2026-08-03)
| Id | Tier | Decision | Disk |
| -- | ---- | -------- | ---- |
| Qwen3-8B | R | **verified** | yes |
| Llama-3.2-3B-Instruct | R | **approved** | deferred — HF gate (need token) |
| Llama-3.2-3B-Instruct | R | **approved** | deferred — HF gate |
| BGE-M3 | R | **verified** | yes |
| R1-Distill-Qwen-14B | R | **verified** | yes |
| nomic-embed-text-v1.5 | R | **verified** | yes |
| DeepSeek-V3 | S1 | **approved**, **collection deferred** | no — capacity / compressed plan later |
| DeepSeek-R1 full | S2 | **approved**, **collection deferred** | no — distill covers runnable reason |
| Qwen3-72B | S4 | **approved**, **collection deferred** | no — after R; pick vs Llama-70B |
| Llama-3.3-70B-Instruct | S4 | **approved**, **collection deferred** | no — gated + vs Qwen-72B |
| Qwen3-14B | W | **remain candidate** | no |
| R1-Distill-32B | W | **remain candidate** | no |
| bge-reranker-v2-m3 | W | **remain candidate** | no |
| **Kimi-K3** | **S1** | **approved**, **collection deferred** | no — ~1454 GiB > soft quota |
| DeepSeek-V3 | S1→secondary | **approved**, deferred | no — K3 is primary open SOTA identity |
| DeepSeek-R1 full | S2 | **approved**, deferred | no |
| Qwen3-72B | S4 | **approved**, deferred | no |
| Llama-3.3-70B-Instruct | S4 | **approved**, deferred | no |
| Qwen3-14B | W | candidate | no |
| R1-Distill-32B | W | candidate | no |
| bge-reranker-v2-m3 | W | candidate | no |
---
@ -57,15 +58,16 @@ Run: `du -sh /mnt/d/vault/coulomb/freedom-intelligence/models`
| Edge micro-agent | Llama-3.2-3B blocked on HF auth |
| Multilingual RAG embed | **Covered** (BGE-M3 + nomic) |
| Local reason | **Covered** (R1-Distill-14B) |
| Frontier-open general MoE offline | Deferred S1 (V3 class) |
| Frontier-open general MoE offline | **Cataloged** Kimi K3 — pull blocked on capacity |
| Full open reasoner MoE | Deferred S2 |
---
## Next pulls (operator)
1. Set `HF_TOKEN` and pull Llama-3.2-3B-Instruct.
2. Reassess soft quota; pick **one** of Qwen3-72B vs Llama-3.3-70B before any S1 giant.
3. For S1/S2: prefer **official compressed** distributions under soft quota.
1. **Capacity decision for Kimi K3** (raise soft quota / dedicate disk / official compressed only).
2. Set `HF_TOKEN` and pull Llama-3.2-3B-Instruct.
3. Optional S4: one of Qwen3-72B vs Llama-3.3-70B under remaining quota.
4. DeepSeek V4-Flash-0731 as mid open value candidate (catalog later if desired).
Tool: `scripts/collect_model.py` (weights-only, sequential, writes `MANIFEST.json`).