id: deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate status: verified name: DeepSeek-R1-Distill-Qwen-14B org: deepseek-ai source: kind: huggingface url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B revision: main model_card_url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B project_url: https://github.com/deepseek-ai/DeepSeek-R1 license: spdx: MIT url: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B allows_offline_retention: true allows_local_ops: true allows_fine_tune: true notes: "R1 distill series MIT — confirm card at pin time." profile: summary: "Local reasoning-specialist distill — hard tasks without full R1 MoE." original_source: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B use_cases: - "Offline multi-step reasoning (math, logic, planning sketches)" - "Harder agent tool-selection and self-checks" - "Local alternative when DeepSeek API is unavailable" - "Eval harness baseline for 'reason' quality on lab tasks" - "QLoRA experiments on reason-style behavior" sweet_spots: - "Reasoning quality above plain 14B chat models at similar size" - "Single enthusiast GPU (Q4) without multi-node MoE" - "MIT-friendly open reason lineage" not_ideal_for: - "Cheapest always-on chat (use 3B/8B)" - "Full parity with frontier closed reasoners or full R1" - "Pure embedding" capability_notes: > Distilled from DeepSeek-R1 into a Qwen-14B-class dense student. Captures much of the reasoner value proposition for homelab VRAM budgets. Primary R-tier reason model; full R1 remains strategic S-tier. swot: strengths: - "Strong open reasoner at single-GPU scale" - "MIT distill story; clear provenance from R1 line" - "Complements general 8B chat without replacing it" weaknesses: - "Heavier and slower than 8B for routine chat" - "Distill ≠ full R1; still loses on hardest problems" - "May overthink simple tasks if not prompted carefully" opportunities: - "Route only hard queries here; keep 8B as default" - "Domain FT for structured ops decision checklists" threats: - "Newer distill or mid-size reasoners may obsolete this checkpoint" - "VRAM growth of defaults may push lab to 32B distill instead" artifacts: - path: "model-00001-of-000004.safetensors" sha256: "9a080ebff55b277c0e106f19e4496a88b9f5db4059ea0a6b8ea7d9bb3ad4d0ca" bytes: 8714116464 - path: "model-00002-of-000004.safetensors" sha256: "b8bc983706e8db5b270c319be58762f53c6222e0c6cd785c6fd8fd33c2e783e8" bytes: 8667059663 - path: "model-00003-of-000004.safetensors" sha256: "557341a00d5c2a75c24e03961d0e716571517d39c70a040633180d9edcbfe285" bytes: 8667059711 - path: "model-00004-of-000004.safetensors" sha256: "6ba8a9c8251b8f6c6beef7325102665f22b17c1f52ef76eaaa938bfeab1bd18c" bytes: 3491898034 - path: "tokenizer.json" sha256: "88145e3c3249adc2546ede277e9819d6e405e19072456e4b521cbc724bd60773" bytes: 7031660 size: total_bytes: 29547234556 total_human: "27.52 GiB" hardware_class: min_vram_gb_q4: 10 min_vram_gb_fp16: 28 notes: "T2 Q4 preferred; fall back to 8B distill if VRAM tight" axes: [B, C] priority: high collection: approved_by: "bernd" approved_at: "2026-07-28" downloaded_at: "2026-07-28" downloaded_by: "grok" storage_path: "/mnt/d/vault/coulomb/freedom-intelligence/models/deepseek-ai__DeepSeek-R1-Distill-Qwen-14B/main" brief_refs: - research/2026-07-24-baseline-field-survey.md reason: "P0/R local reasoning without full R1 MoE — agent/tool loops and harder offline tasks." tags: [tier-r, reasoning, distill, deepseek] companions: - deepseek-ai__DeepSeek-R1__strategic notes: "If disk/VRAM constrained, substitute DeepSeek-R1-Distill-Qwen-8B as R alternate." history: - at: "2026-07-24" event: nominated by: baseline-survey detail: "P0 recommendation from initial deep research." - at: "2026-07-24" event: profile_swot_added by: grok detail: "schema 0.2 profile + SWOT." - at: "2026-07-28" event: approved by: bernd detail: "R local reason" - at: "2026-07-28" event: collected by: grok detail: "snapshot_download weights-only to VAULT" - at: "2026-07-28" event: verified by: grok detail: "MANIFEST.json sha256 for weight files"