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v0.9.0

bytedance/deer-flowv0.9.0Jul 7, 2026by EricLBuehler

AI Summary

Major update adding support for new LFM models and optimizing Metal/CUDA performance.

Key Highlights

  • Added support for LFM 2.5 (dense + MoE) and LFM 2.5 VL
  • Improved Metal runtime and AOT compilation system
  • Split CUDA workers for Docker release
  • Optimized CPU decode and prefill performance on x86 and aarch64

New Features

  • Support for LFM 2.5 (dense + MoE) and LFM 2.5 VL
  • Metal runtime and AOT compilation improvements
  • Multi-model planning support
  • CUDA worker splitting for Docker

Full Release Notes

## What's Changed
* Fix CUDA version extraction in install.sh by @zaqxsw-dev in https://github.com/EricLBuehler/mistral.rs/pull/2287
* feat(metal): improve runtime and aot compilation system by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2288
* feat(release): split cuda workers for docker release by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2289
* feat(install): cleanup install system for updating by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2290
* feat(distributed): more sophisticated TP fallback and resolution system by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2291
* chore(mistralrs-core): cap tojson indent and remove chat template panic paths by @eharris128 in https://github.com/EricLBuehler/mistral.rs/pull/2286
* feat(quant): improve uqff resolution per model ids by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2293
* Fix agentic loop not starting for registered tool callbacks by @aeiklorvy in https://github.com/EricLBuehler/mistral.rs/pull/2279
* feat(models): Support LFM 2.5 (dense + MoE) and LFM 2.5 VL! by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2295
* feat(cuda): preload cuda ptx modules by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2296
* refactor(core): move code exec shims from lib.rs to proper location by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2297
* docs(models): improve supported models readability by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2298
* feat(multi-model): support planning for loading multi-model by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2299
* feat(cuda): update cutlass git revision by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2300
* feat(cpu): aarch64 cpu repacking kernels and performance improvements by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2304
* feat(cpu): optimize decode and prefill performance on x86 and aarch64 by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2311
* fix(tune): detect CUDA backend on Windows by @matt-minev in https://github.com/EricLBuehler/mistral.rs/pull/2312
* fix(server): keep Responses output item IDs stable by @matt-minev in https://github.com/EricLBuehler/mistral.rs/pull/2309

## New Contributors
* @zaqxsw-dev made their first contribution in https://github.com/EricLBuehler/mistral.rs/pull/2287
* @eharris128 made their first contribution in https://github.com/EricLBuehler/mistral.rs/pull/2286
* @aeiklorvy made their first contribution in https://github.com/EricLBuehler/mistral.rs/pull/2279
* @matt-minev made their first contribution in https://github.com/EricLBuehler/mistral.rs/pull/2312

**Full Changelog**: https://github.com/EricLBuehler/mistral.rs/compare/v0.8.23...v0.9.0