inclusionAI
An AI research team focused on the development of large-scale language models. The team has released the Ling model series, which spans multiple versions ranging from lightweight architectures to large-scale Mixture-of-Experts configurations.
Timeline (last 90 days)
Model organizations with Chinese backgrounds (inclusionAI, zai-org, XiaomiMiMo, deepseek-ai, MiniMaxAI, moonshotai) together took 18 first places.
In the count of first-place finishes by organization, FINAL-Bench ranks first with 11, while inclusionAI and zai-org tie for second with 4 each.
AntAngelMed is based on the MoE architecture of Ling-flash-2.0 (inclusionAI), with an activation ratio of 1/32.
Ling-3.1-flash's release strategy is to first offer a two-week free trial, followed by open-sourcing.
The inclusionAI team launched the Ling-3.1-flash model.
inclusionAI has previously released smaller-scale models such as Ling-3.0-tiny and Ling-mini-2.0.
Community users are anticipating inclusionAI to release a smaller Ling-3.1-tiny version capable of running on 8GB VRAM (Q4 quantization).
The AntLing (inclusionAI) team under Ant Group has open-sourced the Ming-Image-0.1-Design series of image models on Hugging Face.
The LLaDA-Image project was developed by the inclusionAI team and has been fully released on GitHub, Hugging Face, and arXiv.
The inclusionAI team is affiliated with an AI research institution under Huawei.
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All Facts (10)
Model organizations with Chinese backgrounds (inclusionAI, zai-org, XiaomiMiMo, deepseek-ai, MiniMaxAI, moonshotai) together took 18 first places.
50%UnverifiedIn the count of first-place finishes by organization, FINAL-Bench ranks first with 11, while inclusionAI and zai-org tie for second with 4 each.
50%UnverifiedAntAngelMed is based on the MoE architecture of Ling-flash-2.0 (inclusionAI), with an activation ratio of 1/32.
50%UnverifiedinclusionAI has previously released smaller-scale models such as Ling-3.0-tiny and Ling-mini-2.0.
50%UnverifiedCommunity users are anticipating inclusionAI to release a smaller Ling-3.1-tiny version capable of running on 8GB VRAM (Q4 quantization).
50%UnverifiedThe inclusionAI team is affiliated with an AI research institution under Huawei.
50%UnverifiedLLaDA-Image was developed by the inclusionAI team
50%UnverifiedThe inclusionAI team launched the Ling-3.1-flash model.
50%UnverifiedThe AntLing (inclusionAI) team under Ant Group has open-sourced the Ming-Image-0.1-Design series of image models on Hugging Face.
50%UnverifiedThe LLaDA-Image project was developed by the inclusionAI team and has been fully released on GitHub, Hugging Face, and arXiv.
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