AI Lab @AntGroup, we envision AGI as humanity's shared milestone. Our Language Model @AntLingAGI and LLaDA, Embodied AI @robbyant_brain, OSS projects @AReaL_AI.
Joined March 2025
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Thanks to everyone at InclusionAI Tech Night during #OpenSourceAIWeek. We talked medical benchmarks, usable open models, and agent systems in the real world.
Thanks to our wonderful speakers and community partners for making this night happen! @sgl_project @open_intel_fdn @ZenMuxAI
InclusionAI retweeted
SGLang-Omni supports @TheInclusionAI's Ming-3.0 on day 0!
🎙️ Ming-3.0-asr-tiny — Chinese/English ASR with dialect support
🔊 Ming-3.0-tts-tiny — voice cloning in 7 languages
🧠 Ming-3.0-audio-flash — 126B-A6.5B MoE for audio understanding and reasoning
Cookbooks👇
Meet the Ming-3.0 speech families:
✅ Ming-3.0-tts for stories, narration & voice assistants
✅ Ming-3.0-audio for meetings, interviews & voice-driven services, offering a more efficient deployment option
✅ Ming-3.0-asr for customer calls, voice search & domain terms. 4.41% average error across four ASR categories.
Try out on Hugging Face & ModelScope! huggingface.co/inclusionAI
#opensource #inclusionAI
Today, we're open-sourcing 5 Ming-3.0 models across 3 speech families.
- Ming-3.0-tts: 0.5B voice design & paralinguistic cues; Tiny 7.9B A1.3B long-form speech.
- Ming-3.0-audio: Flash 126B A6.5B understanding & tools; Tiny 9.3B A2.7B efficient dialogue.
- Ming-3.0-asr: Tiny 8.6B A2B dialects & context.
Build for real work, Ling-3.1-flash is now open source. ~560B total params, ~25B active/token, up to 1M-token context.
Across work, ⌨️coding & 💪healthcare: 1,673 Elo on GDPVal-AA v2.1, 75.16 on FrontierSWE, and 65.35 on HealthBench Professional.
🤗Hugging Face: huggingface.co/inclusionAI/L…
🤖ModelScope: modelscope.cn/models/inclusi…
#opensource #inclusionAI #LLM
InclusionAI retweeted
The FIRST Robbyant Embodied AI Challenge is live. 🤖🌍
We're inviting builders worldwide to push embodied intelligence forward — real hardware, real environments, real impact. 🦾
Be part of history in the making. Prizes. Recognition. The frontier. 🏆 Learn more & register → tianchi.aliyun.com/competiti…
#EmbodiedAI #Robotics
Speaker lineup’s here 👀 More names are on the way! Join InclusionAI Tech Night during #OpenSourceAIWeek for candid talks on open models, AI benchmarks, and real-world agents, plus Token Shots and networking!
📍 San Francisco
🗓 Oct 18 · 4–8 PM
🎟 luma.com/xs9sn0lp
Thanks to the SGLang community for joining InclusionAI Tech Night as a Community Partner! 🎉
See you in San Francisco on Sun, Oct 18 for candid conversations on open models, AI benchmarks, and agent systems.
RSVP: luma.com/xs9sn0lp
Where to find #SGLang at Open Source AI Week:
Sun Oct 18 · InclusionAI Tech Night, SF
Tue Oct 20 · SGLang x LinkedIn Meetup, Sunnyvale
Tue Oct 20 · AI Infra Night at PyTorchCon, San Jose
Links below. opensourceaiweek.com @open_intel_fdn #OpenSourceAIWeek #OpenIntelligence
1️⃣ Sun Oct 18 · InclusionAI Tech Night: Your AI Reality Check in SF, hosted by Ant Open Source and inclusionAI. Request to join: luma.com/xs9sn0lp
2️⃣ Tue Oct 20 · SGLang x LinkedIn Meetup in Sunnyvale. Talks on LLM serving, including how LinkedIn runs SGLang in production. Limited spots, request to join: luma.com/zbp6a1e1
3️⃣ Tue Oct 20 · AI Infra Night #PyTorchCon in San Jose with dstack and Crusoe. GPU and infra folks, after the conference day. Request to join: luma.com/6j69xyal
Can we trust what the AI benchmarks says? Can an agent system be smarter than its best model?
Join inclusionAI at #OpenSourceAIWeek 2026 for tech talks, happy-hour drinks, food, and Token Shots 🍸
Bay Area · RSVP: luma.com/xs9sn0lp
🥳 Meet our brand new model family, Ming-Image-0.1-Design!
1️⃣ Ming-Image-0.1-Design is a 6B text-to-image model for UI, infographics, posters, and other text-rich visual designs, while 2️⃣ Ming-Image-0.1-Design-Layer converts flattened graphics into 2–9 independently editable RGBA layers.
We would also like to introduce you 2 open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill.
#inclusionAI #opensource #ImageModel
Download and try out now🤗:
🔗Hugging Face huggingface.co/inclusionAI/M…
huggingface.co/inclusionAI/M…
🔗ModelScope modelscope.cn/models/inclusi…
modelscope.cn/models/inclusi…
We’re open-sourcing the Ming-Image-0.1-Design family:
• Ming-Image-0.1-Design, 6B
• Ming-Image-0.1-Design-Layer, 6B
• Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill
Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial Analysis’s UI/UX Design leaderboard. 🧵
Make financial AI more accessible and verifiable➡️meet Ling-3.0-flash-Fin FinFIRST!✨
💡With open weights, teams can deploy Ling-3.0-flash-Fin privately, connect it to search, Python, databases and spreadsheets, and adapt it to their own financial workflows.
🔧FinFIRST is an open benchmark for financial search agents. V1 includes 123 expert-authored tasks, 701 atomic criteria and 12,300 rubric points for tracing evidence, sources and calculations.
#OpenSourceAI #inclusionAI #LLM #FinancialAI
🔗Ling-3.0-flash-Fin: huggingface.co/inclusionAI/L…
🔗FinFIRST dataset: huggingface.co/datasets/incl…
We are excited to introduce LLaDA-Image and LLaDA-Image-Turbo.
Highlights:
🎨 High-quality generation for photorealistic images, posters, ads, and bilingual typography
🪄 One 6B DiT unifies text-to-image generation and instruction-guided editing
Both backone and Image-Gen are diffusion models, trained in a unified framework.
⚡ Fast 2-4-step inference with LLaDA-Image-Turbo
High-quality text-to-image pre-training need not begin with image-text pairs.
👉LLaDA-Image builds its visual generative prior from images. Of ~220M cumulative generation-training samples, >90% use image-only supervision; paired data handles later language alignment.
Image-only data builds the visual world; image-text pairs connect language to it.
Both backone and Image-Gen are diffusion models, trained in a unified framework.
On Qwen-Image-Bench, LLaDA-Image scores 53.53 on the English track and 53.38 on the Chinese track, advance rankings on both among the open-source models listed in the technical report.
Generation and editing share one backbone. The same model family offers two deployment profiles: Base prioritizes full quality, while Turbo prioritizes inference speed.
#OpenSourceAI #dLLM #inclusionAI
Try out and explore LLaDA-Image, the open release includes Base and Turbo weights, training and inference code, and the complete training recipes:
🤗 Hugging Face: huggingface.co/collections/i…
💻 Code: github.com/inclusionAI/LLaDA…
📄 Technical Report: arxiv.org/pdf/2609.03796
🤔What if a few cheap models could pool their intelligence and beat a much stronger model?
💥Turns out they can.
Today we’re releasing PanelWise — models catching each other’s blind spots and combining their strengths. Check the details: github.com/inclusionAI/Panel…
InclusionAI retweeted
Robbyant R2 has been recognized by IDEA and K-Design Award. 🏅
For humanoid service robots, great design is not just how it looks — it is how safely, efficiently, and naturally it works around people.
Our R2 industry solution will be showcased at WRC this week. 👋 Come meet us at C111.
We adapted the public DSpark recipe to @AntLingAGI with distribution aligned data, architecture ablations, and an acceptance aware loss.
Meet 🆕Ling-3.0-flash-dspark, a DSpark draft model built specifically for Ling-3.0-flash.
🔗Full engineering details: lmsys.org/blog/2026-08-21-li…
🔗Hugging Face: huggingface.co/inclusionAI/L…
🔗ModelScope: modelscope.cn/models/inclusi…
