Enable fi-daily-research-brief, prove fi_brief_status idempotence with the 2026-07-28 brief, approve R/S catalog entries, collect and verify embeds plus Qwen3-8B and R1-Distill-14B on VAULT, and document residuals (HF-gated Llama, deferred S giants, railiance ConfigMap apply).
86 lines
3.1 KiB
YAML
86 lines
3.1 KiB
YAML
id: deepseek-ai__DeepSeek-R1-Distill-Qwen-32B__candidate
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status: candidate
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name: DeepSeek-R1-Distill-Qwen-32B
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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-32B
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revision: main
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model_card_url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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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-32B
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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: "Larger R1 distill for stronger local reason when 14B is not enough."
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original_source: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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use_cases:
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- "Hard offline reasoning beyond 14B distill quality"
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- "Local eval ceiling before considering full R1 MoE"
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- "Heavier agent planning loops on multi-GPU / high-VRAM hosts"
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- "FT experiments on reason-style traces at 32B"
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sweet_spots:
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- "Best dense open reason step between 14B distill and full R1"
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- "Still denser/portable than 600B-class MoE"
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- "MIT-friendly R1 lineage"
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not_ideal_for:
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- "Default always-on chat (too heavy)"
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- "Hosts without ~20+ GB VRAM for Q4"
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- "When 14B distill already saturates task quality"
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capability_notes: >
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W-tier optional. Approve only with VRAM + soft-quota headroom after R spine
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and primary S pulls. Do not confuse with full DeepSeek-R1 MoE (separate S entry).
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swot:
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strengths:
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- "Material reason quality jump over 14B distill"
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- "Dense, so simpler serving than full MoE"
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- "Clear provenance in R1 distill family"
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weaknesses:
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- "VRAM and latency cost; poor default chat model"
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- "Still not full R1; diminishing returns vs S2 full weights"
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opportunities:
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- "Route only hardest local tasks here"
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- "Bridge until multi-GPU can host full R1"
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threats:
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- "Quota competition with S1/S4 strategic weights"
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- "Newer mid-large open reasoners may leapfrog"
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size:
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total_bytes: 0
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total_human: "~65 GB fp16 / ~20 GB Q4 (estimate)"
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hardware_class:
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min_vram_gb_q4: 20
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min_vram_gb_fp16: 64
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notes: "T2–T3; only if hardware envelope supports"
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axes: [B, C]
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priority: medium
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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: "P1/W stronger local reasoner — approve only with VRAM + quota headroom."
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tags: [tier-w, reasoning, distill, deepseek]
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companions:
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- deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate
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- deepseek-ai__DeepSeek-R1__strategic
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notes: "Do not collect full DeepSeek-V3/R1 MoE under this id."
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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: "P1 recommendation from initial deep research."
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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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- at: "2026-07-28"
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event: decision_pass
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by: bernd
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detail: "W — stay candidate; need VRAM+quota"
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