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coding-engineering

Vercel Container Registry now supports 2 GB compressed image layers

Vercel Container Registry now allows compressed image layers up to 2 GB each, while maintaining a total image size limit of 15 GB. It supports standard Docker workflows like docker push, docker pull, and docker tag, automatically creating repositories on push. Images can be made public or shared with up to 100 teams via the dashboard or CLI. The Vercel CLI v58.3.0 or later enables management of repositories, images, and tags, and GitHub Actions integration uses GitHub OIDC for secure CI logging without long-lived credentials. Failed background optimizations show error statuses in the dashboard, with retry options upon re-push.

Vercel
open-models

Your Experts Have Partners. There's HOPE for Keeping Them Together

HOPE, a second-order expert pruning method for Mixture-of-Experts (MoE) language models, accounts for pairwise expert interactions by optimizing a quadratic program based on an interaction matrix derived from calibration data. Unlike first-order methods that prune experts independently, HOPE preserves cooperative expert groups, leading to better performance—especially at high pruning rates like 50%. On benchmarks such as SWE-Bench Pro, HOPE outperforms state-of-the-art first-order methods like REAP by up to +6.1%, maintaining model quality while significantly reducing memory footprint. The method requires only a single calibration pass and efficient quadratic programming, with negligible overhead. It has been validated on Qwen3.5 and GLM-4.5 models, showing consistent improvements across diverse tasks and calibration sets.

Hugging Face 官方博客