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
3.2 KiB
YAML
84 lines
3.2 KiB
YAML
id: deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate
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status: candidate
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name: DeepSeek-R1-Distill-Qwen-14B
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org: deepseek-ai
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source:
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kind: huggingface
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url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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revision: main
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model_card_url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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project_url: https://github.com/deepseek-ai/DeepSeek-R1
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license:
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spdx: MIT
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url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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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: "R1 distill series MIT — confirm card at pin time."
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profile:
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summary: "Local reasoning-specialist distill — hard tasks without full R1 MoE."
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original_source: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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use_cases:
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- "Offline multi-step reasoning (math, logic, planning sketches)"
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- "Harder agent tool-selection and self-checks"
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- "Local alternative when DeepSeek API is unavailable"
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- "Eval harness baseline for 'reason' quality on lab tasks"
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- "QLoRA experiments on reason-style behavior"
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sweet_spots:
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- "Reasoning quality above plain 14B chat models at similar size"
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- "Single enthusiast GPU (Q4) without multi-node MoE"
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- "MIT-friendly open reason lineage"
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not_ideal_for:
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- "Cheapest always-on chat (use 3B/8B)"
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- "Full parity with frontier closed reasoners or full R1"
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- "Pure embedding"
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capability_notes: >
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Distilled from DeepSeek-R1 into a Qwen-14B-class dense student. Captures much
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of the reasoner value proposition for homelab VRAM budgets. Primary R-tier
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reason model; full R1 remains strategic S-tier.
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swot:
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strengths:
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- "Strong open reasoner at single-GPU scale"
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- "MIT distill story; clear provenance from R1 line"
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- "Complements general 8B chat without replacing it"
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weaknesses:
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- "Heavier and slower than 8B for routine chat"
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- "Distill ≠ full R1; still loses on hardest problems"
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- "May overthink simple tasks if not prompted carefully"
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opportunities:
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- "Route only hard queries here; keep 8B as default"
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- "Domain FT for structured ops decision checklists"
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threats:
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- "Newer distill or mid-size reasoners may obsolete this checkpoint"
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- "VRAM growth of defaults may push lab to 32B distill instead"
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size:
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total_bytes: 0
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total_human: "~28 GB fp16 / ~9 GB Q4 (estimate)"
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hardware_class:
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min_vram_gb_q4: 10
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min_vram_gb_fp16: 28
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notes: "T2 Q4 preferred; fall back to 8B distill if VRAM tight"
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axes: [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-baseline-field-survey.md
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reason: "P0/R local reasoning without full R1 MoE — agent/tool loops and harder offline tasks."
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tags: [tier-r, reasoning, distill, deepseek]
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companions:
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- deepseek-ai__DeepSeek-R1__strategic
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notes: "If disk/VRAM constrained, substitute DeepSeek-R1-Distill-Qwen-8B as R alternate."
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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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- at: "2026-07-24"
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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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