Agentic post-training & ML systems · M.S. CS @illinois · Research intern @Accio-Lab / @alibaba.
35B-A3B agent model for long-horizon tool use. Core contributor — post-training algorithms, infrastructure & data.
≈1.2M cumulative downloads across official quantized releases.
- vLLM #54699
merged— Remove full-weight copies during MoE loading; conversion peak 7.88 → 3.94 GiB in the exact-shape TP2 benchmark - mcore-bridge #211
merged— Score packed QSA within each document; 2.70× faster in an 8K synthetic selector benchmark - HF Datasets #8670
merged— Preserve source shards during streaming shuffle so four workers can share 19 shards
Full PR list · 13 merged · 1 adopted solution · 23 open · 16 projects
HF Datasetshuggingface |
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mcore-bridgemodelscope |
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Megatron BridgeNVIDIA-NeMo |
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slimeTHUDM |
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ms-swiftmodelscope |
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FlashInferflashinfer-ai |
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vimevllm-project |
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Emerging OptimizersNVIDIA-NeMo |
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NeMo GymNVIDIA-NeMo |
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FlashAttentionDao-AILab |
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vLLMvllm-project |
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Megatron-LMNVIDIA |
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NeMo RLNVIDIA-NeMo |
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SGLangsgl-project |
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verlverl-project |
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Hermes AgentNousResearch |
- CineFlow — Dependency-driven parallel video generation. Co-first author · 1.7–5.5× end-to-end speedup in the reported evaluation.
- Dynamic Prefill — Adaptive batching and prompt packing; up to 20% lower TTFT on the reported traces. Report · Code
- RareDx — Graph-grounded RL for rare disease diagnosis. Co-first author.
- CUDA Attention · RL for Legal Reasoning
Reviewer, WSDM 2027.



