{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Model: inclusionAI/Ling-2.6-1T","description":"InclusionAI (Ant Group) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/d56c53e5-d719-424a-964b-24995a3277c7","json_url":"https://onlylabs.fyi/signals/d56c53e5-d719-424a-964b-24995a3277c7/signal.json","generated_at":"2026-06-11T02:40:53.989232+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/d56c53e5-d719-424a-964b-24995a3277c7","signal_json":"https://onlylabs.fyi/signals/d56c53e5-d719-424a-964b-24995a3277c7/signal.json","source":"https://huggingface.co/inclusionAI/Ling-2.6-1T","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/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/Ling-2.6-1T. 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Tailored for real–world, complex scenarios, this trillion–parameter model introduces targeted optimizations across inference efficiency, token overhead, and agentic capabilities, making it highly effective for **coding and daily workflows**. Key upgrades in **Ling–2.6–1T** include: * **High Inference Efficiency:** By adopting a hybrid architecture combining **MLA and Linear Attention**, we dramatically reduce latency and VRAM footprint for long contexts. It delivers superior throughput and lower per–token computational..."},"evidence_pages":[{"url":"https://huggingface.co/inclusionAI/Ling-2.6-1T/raw/main/README.md","final_url":"https://huggingface.co/inclusionAI/Ling-2.6-1T/raw/main/README.md","title":"inclusionAI/Ling-2.6-1T model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:40:53.989232+00:00","bytes":7883,"raw_path":"0af3305a070db152dd683b86e3cf248527c28c30db8179586e86ffd03ec1020b.md","content_hash":"6c025e46655cdeeb85421384b3d8fab10f1a9c753768c86788eff4a9eacd2d33","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit pipeline_tag: text-generation library_name: transformers --- <p align=\"center\"> <img src=\"https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original\" width=\"100\"/> </p> <p align=\"center\">🤗 <a href=\"https://huggingface.co/inclusionAI\">Hugging Face</a>&nbsp;&nbsp; | &nbsp;&nbsp;🤖 <a href=\"https://modelscope.cn/organization/inclusionAI\">ModelScope </a>&nbsp;&nbsp; | &nbsp;&nbsp;🐙 <a href=\"https://openrouter.ai/inclusionai/ling-2.6-1t:free\">OpenRouter </a></p> Ling-2.6-1T: A Trillion-Parameter Comprehensive Flagship Model for Complex Tasks Today, we are thrilled to open-source **Ling–2.6–1T** from the Ling family. Tailored for real–world, complex scenarios, this trillion–parameter model introduces targeted optimizations across inference efficiency, token overhead, and agentic capabilities, making it highly effective for **coding and daily workflows**. Key upgrades in **Ling–2.6–1T** include: * **High Inference Efficiency:** By adopting a hybrid architecture combining **MLA and Linear Attention**, we dramatically reduce latency and VRAM footprint for long contexts. It delivers superior throughput and lower per–token computational..."}],"related_signals":[{"id":"107f41df-b146-4e20-b2f3-fe20b0beba2f","url":"https://onlylabs.fyi/signals/107f41df-b146-4e20-b2f3-fe20b0beba2f","source_url":"https://huggingface.co/inclusionAI/ARGenSeg-8B","title":"inclusionAI/ARGenSeg-8B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-15T02:33:52+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","url":"https://onlylabs.fyi/signals/dde86c8e-76c3-4d1e-83d6-49cf5c3f4ffb","source_url":"https://huggingface.co/inclusionAI/Ring-2.6-1T","title":"inclusionAI/Ring-2.6-1T","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-14T08:10:02+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"d6c4a960-010a-4ca7-8e50-d0daac87bfaf","url":"https://onlylabs.fyi/signals/d6c4a960-010a-4ca7-8e50-d0daac87bfaf","source_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni-FP8","title":"inclusionAI/LLaDA2.0-Uni-FP8","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-06T08:03:43+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"5f271d7b-0454-436e-b047-20873d891685","url":"https://onlylabs.fyi/signals/5f271d7b-0454-436e-b047-20873d891685","source_url":"https://huggingface.co/inclusionAI/Ling-2.6-flash","title":"inclusionAI/Ling-2.6-flash","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-28T03:27:56+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"34bceb00-128e-426c-9c45-ec7f6b585baa","url":"https://onlylabs.fyi/signals/34bceb00-128e-426c-9c45-ec7f6b585baa","source_url":"https://huggingface.co/inclusionAI/LLaDA2.0-Uni","title":"inclusionAI/LLaDA2.0-Uni","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-22T17:10:47+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"},{"id":"ff186850-cf17-4547-8a97-b1b67f8a35cc","url":"https://onlylabs.fyi/signals/ff186850-cf17-4547-8a97-b1b67f8a35cc","source_url":"https://huggingface.co/inclusionAI/DR-Venus-4B-RL","title":"inclusionAI/DR-Venus-4B-RL","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-21T08:05:38+00:00","first_seen_at":"2026-06-06T01:49:59.745196+00:00","date_source":"source"}]}