id: Qwen__Qwen3-72B__strategic status: approved name: Qwen3-72B org: Qwen source: kind: huggingface url: https://huggingface.co/Qwen/Qwen3-72B revision: main model_card_url: https://huggingface.co/Qwen/Qwen3-72B project_url: https://qwenlm.github.io/ license: spdx: Apache-2.0 url: https://huggingface.co/Qwen/Qwen3-72B allows_offline_retention: true allows_local_ops: true allows_fine_tune: true notes: "Confirm card; use Instruct/Coder sibling if that is the capability peak for the line." profile: summary: "Strategic large Qwen dense — multilingual/tool open 70B-class reserve." original_source: https://huggingface.co/Qwen/Qwen3-72B use_cases: - "Future multi-GPU dense instruct without MoE serving complexity" - "Strong multilingual (DE/EN) offline assistant at 70B scale" - "Domain FT base when 8B/14B capacity is too small" - "Dense alternative to MoE giants for portable lab stacks" sweet_spots: - "S4 dense open with Qwen tooling continuity from the R 8B default" - "Easier multi-GPU dense serve story than 600B MoE" - "Apache-friendly licensing typical of Qwen3 line" not_ideal_for: - "Current default single-GPU ops" - "Collecting both this and Llama-70B-class first under tight quota" - "Embedding / retrieval" capability_notes: > Large dense strategic pick. Prefer Instruct/Coder sibling if that is the line peak at pin time. If soft quota is tight after S1, pick at most one of Qwen-72B vs Llama-70B-class first. swot: strengths: - "High multilingual dense quality in open 70B class" - "Same family as R-tier Qwen3-8B — transfer of prompts/tools" - "Usually simpler ops than giant MoE" weaknesses: - "~40–150 GiB depending on quant; still heavy" - "May lag top MoE on some frontier-open benches" opportunities: - "First dense strategic fill after R + optional S1 compressed" - "FT / LoRA at 70B when facility upgrades" threats: - "Llama 70B / next Qwen large may be better use of same bytes" - "Supersession by Qwen next large release" size: total_bytes: 0 total_human: "~145 GB fp16 / ~40 GB Q4 (estimate)" hardware_class: min_vram_gb_q4: 40 min_vram_gb_fp16: 145 notes: "T3+ to run; strategic dense multilingual open." axes: [A, B, C] priority: high collection: approved_by: "bernd" approved_at: "2026-07-28" downloaded_at: null downloaded_by: "" storage_path: "" brief_refs: - research/2026-07-24-nas-strategic-collection-plan.md - docs/decisions/2026-07-24-nas-strategic-reserve.md reason: "S4 strategic — large Qwen dense open for multilingual/tool capability reserve." tags: [tier-s, strategic, dense, qwen3] companions: - Qwen__Qwen3-8B__candidate notes: "Pick at most one of Llama-70B-class vs Qwen-72B-class first if quota tight after S1 MoE." history: - at: "2026-07-24" event: nominated by: operator-policy detail: "Strategic dense open for NAS." - at: "2026-07-28" event: profile_swot_added by: grok detail: "schema 0.2 profile + SWOT." - at: "2026-07-28" event: approved by: bernd detail: "S4 dense Qwen — deferred after R fill; pick vs Llama-70B" - at: "2026-07-28" event: collection_deferred by: grok detail: "S4 dense Qwen — deferred after R fill; pick vs Llama-70B"