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