freedom-intelligence/inventory/catalog/deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate.yaml
tegwick a83ef0a79a Register reserve under agents hub and pin VAULT storage.
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.
2026-07-28 00:25:21 +02:00

84 lines
3.2 KiB
YAML

id: deepseek-ai__DeepSeek-R1-Distill-Qwen-14B__candidate
status: candidate
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"
size:
total_bytes: 0
total_human: "~28 GB fp16 / ~9 GB Q4 (estimate)"
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: ""
approved_at: null
downloaded_at: null
downloaded_by: ""
storage_path: ""
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."