{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Writing: Ling: A MoE LLM Provided and Open-sourced by InclusionAI","description":"InclusionAI (Ant Group) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f","json_url":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f/signal.json","generated_at":"2026-06-07T21:15:58.669947+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/22ecff84-d012-487c-8016-82f7f4d7648f","signal_json":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f/signal.json","source":"https://www.inclusion-ai.org/blog/ling","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":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published Ling: A MoE LLM Provided and Open-sourced by InclusionAI. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: New open-source MoE LLM release. · Ling: A MoE LLM Provided and Open-sourced by InclusionAI | INCLUSION AI Skip to main content 🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope Introduction ​ Ling is.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.inclusion-ai.org/blog/ling","source_host":"inclusion-ai.org","occurred_at":"2025-05-08T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"InclusionAI (Ant Group)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"inclusion-ai.org","source":"source"},{"label":"Author","value":"ospo@antgroup.com (inclusionAI)","source":"source"},{"label":"Notability","value":"New open-source MoE LLM release.","source":"signal"},{"label":"Watch term","value":"Eval 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frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f/signal.json","required":true},{"label":"source","url":"https://www.inclusion-ai.org/blog/ling","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":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","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, 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InclusionAI","predicate":"has source host","object":"inclusion-ai.org","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI has source host inclusion-ai.org."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"has author","object":"ospo@antgroup.com (inclusionAI)","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI has author ospo@antgroup.com (inclusionAI)."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"has notability","object":"New open-source MoE LLM release.","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI has notability New open-source MoE LLM release.."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"has watch term","object":"Eval methodology","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI has watch term Eval methodology."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"has watch 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: New open-source MoE LLM release. · Ling: A MoE LLM Provided and Open-sourced by InclusionAI | INCLUSION AI Skip to main content 🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope Introduction ​ Ling is.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"InclusionAI (Ant Group)","predicate":"published","object":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","text":"InclusionAI (Ant Group) published Ling: A MoE LLM Provided and Open-sourced by InclusionAI."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"is classified as","object":"writing signal","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI is classified as writing signal."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"belongs to","object":"talking desk","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI belongs to talking desk."},{"subject":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI has evidence coverage 1 captured evidence page."}]},"signal":{"id":"22ecff84-d012-487c-8016-82f7f4d7648f","url":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f","json_url":"https://onlylabs.fyi/signals/22ecff84-d012-487c-8016-82f7f4d7648f/signal.json","source_url":"https://www.inclusion-ai.org/blog/ling","title":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","summary":"InclusionAI (Ant Group) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2025-05-08T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:23.327834+00:00","date_source":"rss.item_date","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://www.inclusion-ai.org/blog/ling"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://www.inclusion-ai.org/blog/ling","final_url":"https://www.inclusion-ai.org/blog/ling/","title":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:58.669947+00:00","bytes":110682,"raw_path":"62ac12a341671b7792dfaf75e328ce3e593b024f9dbce409f2be5e4da3f4e946.html","content_hash":"d752a47c48ebf29eec6859dae521c70e80744ef0add6614fcea47bf97e65bdc4","excerpt_chars":1200,"truncated":true,"excerpt":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI | INCLUSION AI Skip to main content 🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope Introduction ​ Ling is a MoE LLM provided and open-sourced by InclusionAI. We introduce two different sizes, which are Ling-lite and Ling-plus. Ling-lite has 16.8 billion parameters with 2.75 billion activated parameters, while Ling-plus has 290 billion parameters with 28.8 billion activated parameters. Both models demonstrate impressive performance compared to existing models in the industry. Their structure makes it easy to scale up and down and adapt to different tasks, so users can use these models for a wide range of tasks, from processing natural language to solving complex problems. Furthermore, the open-source nature of Ling promotes collaboration and innovation within the AI community, fostering a diverse range of use cases and enhancements. As more developers and researchers engage with the platform, we can expect rapid advancements and improvements, leading to even more sophisticated applications. This collaborative approach accelerates development and ensures that the models remain at the forefront of technology, addressing..."},"evidence_pages":[{"url":"https://www.inclusion-ai.org/blog/ling","final_url":"https://www.inclusion-ai.org/blog/ling/","title":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:58.669947+00:00","bytes":110682,"raw_path":"62ac12a341671b7792dfaf75e328ce3e593b024f9dbce409f2be5e4da3f4e946.html","content_hash":"d752a47c48ebf29eec6859dae521c70e80744ef0add6614fcea47bf97e65bdc4","excerpt_chars":1200,"truncated":true,"excerpt":"Ling: A MoE LLM Provided and Open-sourced by InclusionAI | INCLUSION AI Skip to main content 🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope Introduction ​ Ling is a MoE LLM provided and open-sourced by InclusionAI. We introduce two different sizes, which are Ling-lite and Ling-plus. Ling-lite has 16.8 billion parameters with 2.75 billion activated parameters, while Ling-plus has 290 billion parameters with 28.8 billion activated parameters. Both models demonstrate impressive performance compared to existing models in the industry. Their structure makes it easy to scale up and down and adapt to different tasks, so users can use these models for a wide range of tasks, from processing natural language to solving complex problems. Furthermore, the open-source nature of Ling promotes collaboration and innovation within the AI community, fostering a diverse range of use cases and enhancements. As more developers and researchers engage with the platform, we can expect rapid advancements and improvements, leading to even more sophisticated applications. 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