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FIRST SEEN 14H AGO
HFRESEARCH

vLLM V1 migration examined for correctness in RL training workflows

A Hugging Face post examines the transition from vLLM V0 to V1, focusing on correctness issues that arise in reinforcement learning training pipelines. The piece highlights the importance of ensuring correctness before attempting corrections in RL workloads.

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  1. Hugging Face14H AGO
    huggingface.co/blog/ServiceNow-AI/correctness-before-corrections
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@Bakar_Qureshii7D · 1
After pausing RetinaGuard, I found RETFound — a model trained on 1.6M retinal images, published in Nature, sitting on HuggingFace. Then went deep on LoRA, QLoRA, and multi-platform model testing.