id: deepseek-ai__DeepSeek-V3__strategic
status: approved
name: DeepSeek-V3
org: deepseek-ai
source:
  kind: huggingface
  url: https://huggingface.co/deepseek-ai/DeepSeek-V3
  revision: main
  model_card_url: https://huggingface.co/deepseek-ai/DeepSeek-V3
  project_url: https://github.com/deepseek-ai/DeepSeek-V3
license:
  spdx: MIT
  url: https://huggingface.co/deepseek-ai/DeepSeek-V3
  allows_offline_retention: true
  allows_local_ops: true
  allows_fine_tune: true
  notes: "Confirm active card license at pin; prefer latest V3.x/V4 open successor if it is the new SOTA open general."
profile:
  summary: "Strategic open general MoE — among the most capable open chat/code weights."
  original_source: https://huggingface.co/deepseek-ai/DeepSeek-V3
  use_cases:
    - "Long-term offline optionality if frontier API access is lost or restricted"
    - "Future multi-GPU / training-facility inference or continued pretrain"
    - "Capability benchmark reference against closed frontier"
    - "Source of student weights / distill experiments (when license + hardware allow)"
  sweet_spots:
    - "S1 primary giant: best open general MoE class on the reserve"
    - "Capability identity even when only compressed weights fit disk"
    - "MIT-friendly open SOTA lineage (confirm at pin)"
  not_ideal_for:
    - "Current lab single-GPU daily ops (use R spine)"
    - "Storing multiple near-duplicate full-precision giants on one disk"
    - "Assuming immediate local serve without major hardware upgrade"
  capability_notes: >
    Flagship open general MoE (or successor) for the strategic tier. On ~1–2 TB
    lab bulk storage, prefer official compressed distributions when full precision
    would exhaust soft quota. Catalog identity stays the base model id + revision.
swot:
  strengths:
    - "Top-tier open general capability for the era"
    - "Open weights enable true offline retention and future fine work"
    - "Strong coding/agent relevance as hardware catches up"
  weaknesses:
    - "Huge disk and multi-GPU serve cost"
    - "Rapid version churn (V3 → V3.x → V4)"
    - "Quant choice materially affects quality"
  opportunities:
    - "Hold compressed primary; upgrade hardware later without re-scrape risk"
    - "Anchor daily briefs against a fixed offline SOTA open baseline"
  threats:
    - "Soft quota: one full pull can block other S niches"
    - "License or card terms change at successor releases — re-check at pin"
size:
  total_bytes: 0
  total_human: "hundreds of GiB (quant) to multi-hundred+ GiB; measure at pull — may need official compressed release"
hardware_class:
  min_vram_gb_q4: 0
  min_vram_gb_fp16: 0
  notes: "Beyond current lab run envelope (T4+). Reserved for strategic capability, not current inference."
axes: [A, B, C]
priority: high
collection:
  approved_by: "bernd"
  approved_at: "2026-07-28"
  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: "S1 strategic — among the most capable open general MoE weights; keep even if unrunnable today."
tags: [tier-s, strategic, beyond-run-envelope, moe, general]
companions: []
notes: "At download: pin exact revision; if full precision exceeds remaining soft quota, collect best official compressed distribution of the same model line."
history:
  - at: "2026-07-24"
    event: nominated
    by: operator-policy
    detail: "1TB NAS strategic reserve — capability-first, not run-envelope-gated."
  - at: "2026-07-28"
    event: profile_swot_added
    by: grok
    detail: "schema 0.2 profile + SWOT."
  - at: "2026-07-28"
    event: approved
    by: bernd
    detail: "S1 primary giant — deferred full pull (capacity; prefer official compressed later)"
  - at: "2026-07-28"
    event: collection_deferred
    by: grok
    detail: "S1 primary giant — deferred full pull (capacity; prefer official compressed later)"