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wire 2026-08-22
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LEROBOT CUTS FASTWAM OVERHEAD WITH COMPILED INFERENCE

By RepoJournal · Filed · About Hugging Face · Composed from the cited sources · methodology

LeRobot's FastWAM policy gets an opt-in compiled path that slashes Python and CUDA kernel-launch overhead on cached action inference.

LeRobot shipped an opt-in compiled inference path for FastWAM that cuts Python and CUDA kernel-launch overhead on cached action inference, a win for anyone running repeated denoising steps on the same video features [1]. The same repo tightened MolmoAct2 continuous training to match the official recipe, adopting a BF16 VLM / FP32 action-expert precision policy and the official 30K scheduler clock [2]. On the policy side, Pi05 now supports training-time Real-Time Chunking behind a flag that defaults to 0, so existing pipelines stay untouched [3]. Outside LeRobot, a stale Pi install command on model pages has been fixed: huggingface.js now points to the new @earendil-works/pi-coding-agent package, which sits at 0.84.2 versus the frozen 0.73.1 release [4]. Hub docs clarify that PRO subscription credits are now general-purpose compute credits, applied automatically before pay-as-you-go, usable across Inference Endpoints, Spaces, and Jobs [5]. TRL fixed a CLI parsing bug where --scale_rewards group failed because SDPOConfig typed it as bool; it now matches GRPOConfig's string type [6]. The async trainer tests in TRL also upgraded to a Flash Attention-compatible model so head_size is a multiple of 8, un-xfailing a set of tests that were expected to fail [7].

Action items

References

  1. [1] perf(fastwam): add compiled cached action inference ↗ huggingface/lerobot
  2. [2] fix(molmoact2): align continuous training with official recipe ↗ huggingface/lerobot
  3. [3] feat(pi05): add optional training-time RTC ↗ huggingface/lerobot
  4. [4] Update Pi local-app snippet to the new package name and repo URL (#2390) ↗ huggingface/huggingface.js
  5. [5] included sub credits are now compute credits (#2719) ↗ huggingface/hub-docs
  6. [6] Fix SDPO scale_rewards CLI parsing and warn on ignored feedback ↗ huggingface/trl
  7. [7] Use a Flash Attention compatible model in the async trainer tests ↗ huggingface/trl

Quick answers

What shipped in Hugging Face on August 22, 2026?
LeRobot's FastWAM policy gets an opt-in compiled path that slashes Python and CUDA kernel-launch overhead on cached action inference. In total, 18 commits and 18 pull requests landed.
Who contributed to Hugging Face on August 22, 2026?
12 developers shipped this update, including sayakpaul, akshan-main, dg845, darthjaja6, hq-fang, pkooij, moon-bot-app[bot], and moon-bot-app, and 4 more.
What were the notable Hugging Face updates?
perf(fastwam): add compiled cached action inference, fix(molmoact2): align continuous training with official recipe, and feat(pi05): add optional training-time RTC.