id: deepseek-ai__DeepSeek-R1-Distill-Qwen-32B__candidate
status: candidate
name: DeepSeek-R1-Distill-Qwen-32B
org: deepseek-ai
source:
  kind: huggingface
  url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
  revision: main
  model_card_url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
  project_url: https://github.com/deepseek-ai/DeepSeek-R1
license:
  spdx: MIT
  url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
  allows_offline_retention: true
  allows_local_ops: true
  allows_fine_tune: true
  notes: "R1 distill series MIT — confirm card at pin time."
profile:
  summary: "Larger R1 distill for stronger local reason when 14B is not enough."
  original_source: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
  use_cases:
    - "Hard offline reasoning beyond 14B distill quality"
    - "Local eval ceiling before considering full R1 MoE"
    - "Heavier agent planning loops on multi-GPU / high-VRAM hosts"
    - "FT experiments on reason-style traces at 32B"
  sweet_spots:
    - "Best dense open reason step between 14B distill and full R1"
    - "Still denser/portable than 600B-class MoE"
    - "MIT-friendly R1 lineage"
  not_ideal_for:
    - "Default always-on chat (too heavy)"
    - "Hosts without ~20+ GB VRAM for Q4"
    - "When 14B distill already saturates task quality"
  capability_notes: >
    W-tier optional. Approve only with VRAM + soft-quota headroom after R spine
    and primary S pulls. Do not confuse with full DeepSeek-R1 MoE (separate S entry).
swot:
  strengths:
    - "Material reason quality jump over 14B distill"
    - "Dense, so simpler serving than full MoE"
    - "Clear provenance in R1 distill family"
  weaknesses:
    - "VRAM and latency cost; poor default chat model"
    - "Still not full R1; diminishing returns vs S2 full weights"
  opportunities:
    - "Route only hardest local tasks here"
    - "Bridge until multi-GPU can host full R1"
  threats:
    - "Quota competition with S1/S4 strategic weights"
    - "Newer mid-large open reasoners may leapfrog"
size:
  total_bytes: 0
  total_human: "~65 GB fp16 / ~20 GB Q4 (estimate)"
hardware_class:
  min_vram_gb_q4: 20
  min_vram_gb_fp16: 64
  notes: "T2–T3; only if hardware envelope supports"
axes: [B, C]
priority: medium
collection:
  approved_by: ""
  approved_at: null
  downloaded_at: null
  downloaded_by: ""
  storage_path: ""
  brief_refs:
    - research/2026-07-24-baseline-field-survey.md
reason: "P1/W stronger local reasoner — approve only with VRAM + quota headroom."
tags: [tier-w, reasoning, distill, deepseek]
companions:
  - deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate
  - deepseek-ai__DeepSeek-R1__strategic
notes: "Do not collect full DeepSeek-V3/R1 MoE under this id."
history:
  - at: "2026-07-24"
    event: nominated
    by: baseline-survey
    detail: "P1 recommendation from initial deep research."
  - at: "2026-07-28"
    event: profile_swot_added
    by: grok
    detail: "schema 0.2 profile + SWOT."
  - at: "2026-07-28"
    event: decision_pass
    by: bernd
    detail: "W — stay candidate; need VRAM+quota"