tegwick
a83ef0a79a
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.
83 lines
3.1 KiB
YAML
83 lines
3.1 KiB
YAML
id: Qwen__Qwen3-8B__candidate
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status: candidate
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name: Qwen3-8B
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org: Qwen
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source:
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kind: huggingface
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url: https://huggingface.co/Qwen/Qwen3-8B
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revision: main
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model_card_url: https://huggingface.co/Qwen/Qwen3-8B
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project_url: https://qwenlm.github.io/
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license:
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spdx: Apache-2.0
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url: https://huggingface.co/Qwen/Qwen3-8B
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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: "Confirm exact card license at download time; Qwen3 line generally Apache-2.0."
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profile:
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summary: "Default mid-small open instruct for local ops, tools, and domain fine-tunes."
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original_source: https://huggingface.co/Qwen/Qwen3-8B
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use_cases:
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- "Local NetKingdom / Coulomb assistant (chat, docs, runbooks)"
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- "Tool-using agent loops on consumer GPU"
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- "QLoRA / LoRA domain specialization base"
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- "Multilingual (incl. DE/EN) drafting and summarization"
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- "Offline code help when 14B+ is too heavy"
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sweet_spots:
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- "Best balance of quality vs VRAM in the ~8B open class for many 2026 stacks"
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- "Instruction + tool-use oriented workflows"
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- "Homelab fine-tune target (axis C)"
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- "Runnable spine default when one model must wear many hats"
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not_ideal_for:
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- "Hardest SWE-bench-class multi-file engineering (use larger or closed frontier)"
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- "Deep multi-step math/reason vs R1-class distill or full reasoners"
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- "Embedding / retrieval (use BGE-M3 or nomic)"
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capability_notes: >
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Flagship small-mid dense open generalist in the Qwen3 line. Strong multilingual
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and instruct behavior for its size; primary R-tier workhorse for the lab. Prefer
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Instruct sibling on the card if separate repo exists at pin time.
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swot:
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strengths:
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- "High capability density at 8B; Apache-friendly licensing typical"
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- "Good multilingual + tool/instruct posture for local agents"
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- "Excellent FT base for domain specialization"
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weaknesses:
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- "Still far from frontier closed models on hard agentic coding"
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- "8B ceiling on long-horizon planning and rare knowledge"
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opportunities:
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- "Domain LoRAs (security, ops, railiance) on NAS-held base"
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- "Pair with BGE-M3 RAG for grounded NetKingdom answers"
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threats:
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- "Rapid supersession by next Qwen/peer 8–14B release"
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- "Quant quality variance across third-party GGUF repacks"
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size:
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total_bytes: 0
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total_human: "~16 GB fp16 / ~5 GB Q4 (estimate)"
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hardware_class:
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min_vram_gb_q4: 6
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min_vram_gb_fp16: 16
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notes: "Default T1–T2 general instruct and FT base"
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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 spine — best default open general/tool model for local ops and QLoRA domain specialization."
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tags: [tier-r, instruct, text, qwen3, ft-base]
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companions: []
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notes: "Prefer Instruct variant on card if separate repo; pin commit SHA at collection."
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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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