Add INTENT/SCOPE, daily-brief playbook, activity-core definition (disabled), workplans FI-WP-0001..0003, baseline field survey with open-weight collection recommendations, and inventory catalog candidates for the model reserve.
42 lines
1.2 KiB
YAML
42 lines
1.2 KiB
YAML
id: meta-llama__Llama-3.2-3B-Instruct__candidate
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status: candidate
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name: Llama-3.2-3B-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-3.2-3B-Instruct
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revision: main
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model_card_url: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
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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 — not MIT; review terms before commercial redistribution."
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size:
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total_bytes: 0
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total_human: "~6 GB fp16 / ~2 GB Q4 (estimate)"
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hardware_class:
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min_vram_gb_q4: 3
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min_vram_gb_fp16: 8
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notes: "T0–T1 edge / always-on"
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axes: [B]
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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-baseline-field-survey.md
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reason: "P0 edge instruct — tiny, huge ecosystem, good CPU/GPU floor for agents."
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tags: [instruct, edge, llama]
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companions: []
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notes: "HF gated model — need accepted license on account before download."
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history:
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- at: "2026-07-24"
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event: nominated
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by: baseline-survey
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detail: "P0 recommendation from initial deep research."
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