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@ant_oss

Ant Open Source

@ant_oss
All things open source at Ant Group. We aim to bring high caliber infrastructure FinTech OSS to the community.
opensource.antgroup.com/en
Joined March 2024
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  • @ant_oss
    Ant Open Source
    @ant_oss
    Sep 4
    👋 LLaDA-Image combines the LLaDA2.0-mini dLLM understanding backbone with a 6B DiT for high-quality image generation and instruction-guided editing. Both backone and Image-Gen are diffusion models, trained in a unified framework. 🔑 Image-first training at scale: Of ~220M
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  • @ant_oss
    Ant Open Source
    @ant_oss
    Aug 30
    Given human demo videos, it infers objects, interactions & task flows to generate robot‑executable motions. Check out the latest ICL work from Robbyant Research.
    @robbyant_brain
    Robbyant
    @robbyant_brain
    Aug 29
    Can robots learn new tasks directly from human‑operation videos?✅ Meet Zero‑WAM: video‑based in‑context learning for robotics. No heavy retraining, no verbose text instructions. Given human demo videos, it infers objects, interactions & task flows to generate robot‑executable
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  • @ant_oss
    Ant Open Source
    @ant_oss
    Aug 29
    Sharing a new collaboration with the #SGLang community. lmsys.org/blog/2026-08-2… Infer-forge uses Harness + Loop + Graph to keep 28-hour median task lifetimes fully traceable. Peak tasks in flight: 2→9. A full DeepSeek-V4-Pro serving project split into 38 pieces, each verified
    @lmsysorg
    LMSYS Org
    @lmsysorg
    Aug 28
    🚀 Infer-forge: Harness, Loop, and Graph Engineering Around SGLang @ant_oss built a three-layer system for running long inference optimization work through agents without losing provenance: Harness for execution, Task Loop for one Task's contract, Task Graph for verified
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  • @ant_oss
    Ant Open Source
    @ant_oss
    Aug 24
    Meet Ling-3.0-flash-dspark➡️🤗We adapted the public DSpark recipe to Ling with distribution aligned data, architecture ablations, and an acceptance aware loss. The checkpoint and serving recipe are now available. 🔗Full engineering details: lmsys.org/blog/2026-08-2… 🔗Hugging
    @AntLingAGI
    Ant Ling
    @AntLingAGI
    Aug 21
    Today we are open sourcing Ling-3.0-flash-dspark, a DSpark draft model built specifically for Ling-3.0-flash. On 4 NVIDIA Blackwell GPUs at batch 1, it delivered 1,120 tok/s, 0.78 ms mean TPOT, and an accept length of 9.95 across 1,000 requests. 🧵
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  • @ant_oss
    Ant Open Source
    @ant_oss
    Aug 19
    Had a 💥blast building this with the SGLang team, the collaboration shows what scenario-specific optimization open-source can do. The Humming + DSpark optimizations are already upstreamed. 📖 Full breakdown: lmsys.org/blog/2026-08-1…
    @lmsysorg
    LMSYS Org
    @lmsysorg
    Aug 19
    🚀 New blog: Pushing the Limits of Serving DeepSeek-V4-Pro DeepSeek-V4-Pro (1.6T MoE) on H20 reaches 271 output tokens/s at batch size 1, just 1.42× off B300 on hardware with no native FP4 Tensor Cores. Together with @ant_oss, we built a scenario-specific serving stack on
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