tegwick
a83ef0a79a
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.
84 lines
3.3 KiB
YAML
84 lines
3.3 KiB
YAML
id: meta-llama__Llama-3.3-70B-Instruct__strategic
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status: candidate
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name: Llama-3.3-70B-Instruct
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org: meta-llama
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source:
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kind: huggingface
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url: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
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revision: main
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model_card_url: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
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project_url: https://www.llama.com/
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license:
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spdx: custom
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url: https://ai.meta.com/llama/license/
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allows_offline_retention: true
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allows_local_ops: true
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allows_fine_tune: true
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notes: "Llama Community License — review before commercial redistribution. Prefer Llama 4 open text sibling if it is clearly stronger at pull time."
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profile:
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summary: "Strategic dense Llama 70B instruct — ecosystem-rich open reserve for multi-GPU."
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original_source: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
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use_cases:
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- "Future multi-GPU general instruct with mature Llama tooling"
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- "Portable dense alternative to giant MoE for lab upgrades"
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- "Ecosystem baselines (vLLM, llama.cpp, eval harnesses expect Llama ids)"
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- "Domain FT when Llama license fits the use"
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sweet_spots:
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- "S4 dense open with the broadest third-party tooling surface"
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- "More portable serve path than 600B-class MoE"
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- "Strong general instruct heritage in the 70B class"
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not_ideal_for:
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- "Current single-GPU daily ops (use 3B/8B R spine)"
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- "Uses forbidden by Llama Community License terms"
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- "Duplicate with Qwen-72B under tight quota — pick one first"
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capability_notes: >
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HF gated. Strategic dense pick. If Llama 4 open text weights supersede
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clearly, nominate successor and mark this entry superseded. License is not
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Apache — operator must re-read terms before redistribution.
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swot:
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strengths:
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- "Huge ecosystem and ops familiarity"
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- "Solid 70B dense instruct quality"
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- "Easier multi-GPU dense story than MoE giants"
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weaknesses:
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- "Custom Llama license (not Apache/MIT)"
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- "HF gating friction for automated pulls"
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- "May lag peer open MoE on some benches"
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opportunities:
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- "First dense strategic if Qwen-72B is deferred"
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- "Broad eval comparability with published Llama numbers"
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threats:
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- "Llama 4 open may obsolete 3.3 quickly"
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- "Quota competition with Qwen-72B and S1 MoE"
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size:
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total_bytes: 0
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total_human: "~140 GB fp16 / ~40 GB Q4 (estimate)"
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hardware_class:
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min_vram_gb_q4: 40
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min_vram_gb_fp16: 140
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notes: "T3+ to run well; still valuable reserve for future multi-GPU."
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axes: [A, B, C]
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priority: high
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collection:
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approved_by: ""
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approved_at: null
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downloaded_at: null
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downloaded_by: ""
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storage_path: ""
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brief_refs:
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- research/2026-07-24-nas-strategic-collection-plan.md
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- docs/decisions/2026-07-24-nas-strategic-reserve.md
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reason: "S4 strategic dense — strong ecosystem 70B open instruct; more portable than full MoE for a future lab upgrade."
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tags: [tier-s, strategic, dense, instruct, llama]
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companions:
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- meta-llama__Llama-3.2-3B-Instruct__candidate
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notes: "HF gated. If Llama 4 open weights supersede, nominate successor and supersede this entry."
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history:
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- at: "2026-07-24"
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event: nominated
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by: operator-policy
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detail: "Strategic dense open for NAS capability reserve."
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- at: "2026-07-28"
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event: profile_swot_added
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by: grok
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detail: "schema 0.2 profile + SWOT."
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