{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Repo: inclusionAI/MoBE","description":"InclusionAI (Ant Group) repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477","json_url":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477/signal.json","generated_at":"2026-06-11T03:18:00.687426+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477","signal_json":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477/signal.json","source":"https://github.com/inclusionAI/MoBE","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/MoBE (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo inclusionAI/MoBE · language Python · Low-stars new model repo.. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/inclusionAI/MoBE","source_host":"github.com","occurred_at":"2025-08-13T08:19:35+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"InclusionAI (Ant Group)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"inclusionAI/MoBE","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"34","source":"traction"},{"label":"Notability","value":"Low-stars new model repo.","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Infrastructure","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/inclusionAI/MoBE"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:18:00.687426+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477/signal.json","dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, interpret the repository as source-grounded category strategy evidence.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/848bd621-914e-4a4a-92fb-f1be1181d477/signal.json","required":true},{"label":"source","url":"https://github.com/inclusionAI/MoBE","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/inclusionai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze InclusionAI (Ant Group)'s repo signal \"inclusionAI/MoBE\" for neolab strategy."},"semantic_triples":[{"subject":"InclusionAI (Ant Group)","predicate":"published repo","object":"inclusionAI/MoBE","text":"InclusionAI (Ant Group) published repo inclusionAI/MoBE."},{"subject":"inclusionAI/MoBE","predicate":"is classified as","object":"repo signal","text":"inclusionAI/MoBE is classified as repo signal."},{"subject":"inclusionAI/MoBE","predicate":"belongs to","object":"repos desk","text":"inclusionAI/MoBE belongs to repos desk."},{"subject":"inclusionAI/MoBE","predicate":"has context","object":"Python","text":"inclusionAI/MoBE has context Python."},{"subject":"inclusionAI/MoBE","predicate":"has evidence coverage","object":"1 captured evidence page","text":"inclusionAI/MoBE has evidence coverage 1 captured evidence page."},{"subject":"inclusionAI/MoBE","predicate":"has captured page count","object":"1","text":"inclusionAI/MoBE has captured page count 1."},{"subject":"inclusionAI/MoBE","predicate":"has readable page count","object":"1","text":"inclusionAI/MoBE has readable page count 1."},{"subject":"inclusionAI/MoBE","predicate":"has related signal count","object":"6","text":"inclusionAI/MoBE has related signal count 6."},{"subject":"inclusionAI/MoBE","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"inclusionAI/MoBE has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"inclusionAI/MoBE","predicate":"has source host","object":"github.com","text":"inclusionAI/MoBE has source host github.com."},{"subject":"inclusionAI/MoBE","predicate":"has lab","object":"InclusionAI (Ant Group)","text":"inclusionAI/MoBE has lab InclusionAI (Ant Group)."},{"subject":"inclusionAI/MoBE","predicate":"has signal desk","object":"repos","text":"inclusionAI/MoBE has signal desk repos."},{"subject":"inclusionAI/MoBE","predicate":"has source host","object":"github.com","text":"inclusionAI/MoBE has source host github.com."},{"subject":"inclusionAI/MoBE","predicate":"has repository","object":"inclusionAI/MoBE","text":"inclusionAI/MoBE has repository inclusionAI/MoBE."},{"subject":"inclusionAI/MoBE","predicate":"has language","object":"Python","text":"inclusionAI/MoBE has language Python."},{"subject":"inclusionAI/MoBE","predicate":"has stars","object":"34","text":"inclusionAI/MoBE has stars 34."},{"subject":"inclusionAI/MoBE","predicate":"has notability","object":"Low-stars new model repo.","text":"inclusionAI/MoBE has notability Low-stars new model repo.."},{"subject":"inclusionAI/MoBE","predicate":"has watch term","object":"Eval methodology","text":"inclusionAI/MoBE has watch term Eval methodology."}]},"intelligence":{"signal_desk":"repos","answer":"InclusionAI (Ant Group) published inclusionAI/MoBE (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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It achieves efficient parameter reduction by factorizing each expert's weight matrix as: $$ \\mathbf{W} =..."},"evidence_pages":[{"url":"https://github.com/inclusionAI/MoBE","final_url":"https://github.com/inclusionAI/MoBE","title":"inclusionAI/MoBE repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:18:00.687426+00:00","bytes":17889,"raw_path":"acaa46f5708c7e6c7abb73428e13216cca8b901c9d7d5d2927706a1eb2aaf4ac.json","content_hash":"759e761fc9cba9fde132fd5fcb2352138811f05944148bffc5cd006b0550ecab","excerpt_chars":1200,"truncated":true,"excerpt":"inclusionAI/MoBE Description: Mixture-of-Basis-Experts for Compressing MoE-based LLMs Language: Python Stars: 34 Forks: 5 Open issues: 2 Created: 2025-08-13T08:19:35Z Pushed: 2025-12-24T15:41:10Z Default branch: main Fork: no Archived: no README: <h1 align=\"center\"> MoBE: Mixture-of-Basis-Experts for Compressing <br> MoE-based LLMs </h1> <div style=\"text-align:center;\"> <a href=\"https://arxiv.org/abs/2508.05257\"> <img src=\"https://img.shields.io/badge/arXiv-2508.05257-b31b1b.svg\" alt=\"arXiv\"> </a> </div> --- ✅ Feature List - [x] **Supported multiple MoE models (BF16)** - [x] Ling Family - [x] Qwen3MoE Family - [x] DeepSeek-V3 - [x] Kimi-K2-Instruct - [ ] **Supported SGLang inference (with fused-MoE kernel)** - [ ] **Supported MoBE mega-kernel (high-performance fused kernel for MoBE)** > 💡 *Coming soon: Optimized inference kernels for MoBE models to maximize throughput and memory efficiency.* --- 📘 Introduction **MoBE (Mixture-of-Basis-Experts)** is a novel model compression technique designed for MoE LLMs developed by the **AGI Center, Ant Group Research**. 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