v0.9.1

webiny/webiny-jsv0.9.1Aug 14, 2026by EricLBuehler

Upgrading?

AI Summary

This release introduces significant improvements to the core scheduler, concurrent serving, and support for new models like Muse Glimmer, along with LoRA kernel improvements and GGUF support.

Key Highlights

  • Major improvements to scheduler and concurrent serving performance
  • First-class support for loading GGUFs for all supported models
  • True LoRA kernels and dynamic adapter support
  • Support for the Muse Glimmer model

New Features

  • True LoRA kernels and dynamic adapter support
  • Support for loading GGUFs for all supported models
  • Support for Muse Glimmer model
  • Support for lmhead/embedding quantization
  • Sampler returning natural-log probabilities from `logprobs`

Full Release Notes

## What's Changed
* feat(install): show suggested commands for installer script by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2315
* feat(uqff): no dummy run for uqff generation pass by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2316
* fix(sampler): return natural-log probabilities from `logprobs`, not log10 by @dx2102 in https://github.com/EricLBuehler/mistral.rs/pull/2327
* fix(core): address recent correctness regressions by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2345
* chore(deps): bump serde_with from 3.16.1 to 3.21.0 by @dependabot[bot] in https://github.com/EricLBuehler/mistral.rs/pull/2349
* feat(lora): add true lora kernels and dynamic adapter support by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2351
* feat(core): support lmhead/embedding quantization by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2280
* fix(quant): misc fixes, warmup metal kernels by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2353
* fix(gemma4): improve audios ordering around text by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2355
* feat(core): major improvements to scheduler & concurrent serving performance by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2354
* feat(core): first-class support for loading GGUFs for all supported models by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2365
* feat(models): support Muse Glimmer by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2366

## New Contributors
* @dx2102 made their first contribution in https://github.com/EricLBuehler/mistral.rs/pull/2327

**Full Changelog**: https://github.com/EricLBuehler/mistral.rs/compare/v0.9.0...v0.9.1

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