112 wires and counting

$ follow Hugging Face

Keep up with Hugging Face in about 3 minutes: what actually shipped โ€” the commits, pull requests, releases, and security advisories that matter.

or

fair warning: these emails are deeply technical. diffs, version numbers, CVEs, benchmark deltas. if that's not your idea of a good read, this isn't your newsletter.

Folds into your digest โ€” weekly by default, monthly if you prefer. Unsubscribe in one click.

$ status

wire 2026-07-01
stories 58

ยฉ 2026 RepoJournal Home Showcase Explore How it works Privacy

$ the-wire ยท showcase

TRANSFORMERS SHIPPING EXPORT STANDARDIZATION, GEMMA ATTENTION FIXES LAND

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

Transformers just locked in broad modeling changes that make ONNX, torch.export, and ExecuTorch export work cleanly across a huge set of models, while Gemma 3/4 gets critical attention masking corrections.

The modeling standardization PR [1] reshapes how models handle compilation and export paths, eliminating one of the sharpest pain points for production deployments. That lands alongside targeted fixes for Gemma 3/4 attention masking at sliding window boundaries [2], which patches a behavioral drift in local layer attention that would have broken inference consistency. TRL is also housekeeping: dropping vLLM 0.14 support [3], removing the defunct sft_video_llm.py script [4], and integrating the new response parsing API [5]. Over in robotics, LeRobot shipped configurable MIT control mode for ReBot [6], letting users swap between position-velocity and torque-based control per joint with tunable stiffness parameters. The physics-intern-skills repo continues internal iteration on Codex integration [7], workspace bootstrap flow [8], and plugin distribution [9], with documentation catching up to match.

Action items

References

  1. [1] ๐Ÿšจ Modeling changes for export, compile, and hybrid-attention standardization โ†— huggingface/transformers
  2. [2] ๐Ÿšจ [gemma 3/4] Fix bidirectional attention masking crossing sliding window boundaries โ†— huggingface/transformers
  3. [3] Drop vLLM 0.14 support (#6209) โ†— huggingface/trl
  4. [4] Remove sft_video_llm.py script (#6193) โ†— huggingface/trl
  5. [5] Integrate the new response parsing API โ†— huggingface/trl
  6. [6] Feat(robot): add MIT control mode to ReBot โ†— huggingface/lerobot
  7. [7] Codex host: migrate sub-agent glue to auto-discovered .codex/agents/ โ†— huggingface/physics-intern-skills
  8. [8] Drop the problem one-liner / start-research bootstrap step โ†— huggingface/physics-intern-skills
  9. [9] Add Codex CLI plugin: $init-physics-intern + build-codex-plugin.sh โ†— huggingface/physics-intern-skills

Quick answers

What shipped in Hugging Face on July 1, 2026?
Transformers just locked in broad modeling changes that make ONNX, torch.export, and ExecuTorch export work cleanly across a huge set of models, while Gemma 3/4 gets critical attention masking corrections. In total, 34 commits and 24 pull requests landed.
Who contributed to Hugging Face on July 1, 2026?
4 developers shipped this update, including IlyasMoutawwakil, douglas-reid, qgallouedec, and s1lent4gnt.
What were the notable Hugging Face updates?
๐Ÿšจ Modeling changes for export, compile, and hybrid-attention standardization, ๐Ÿšจ [gemma 3/4] Fix bidirectional attention masking crossing sliding window boundaries, and Drop vLLM 0.14 support (#6209).