v0.9.2

## What's Changed
* fix(fav3): misc fixes relating to FAv3 by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2369
* feat(qwen3.5): implement better video processor by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2368
* feat(server): improve openai server compatability with /v1/responses by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2370
* feat(qwen3.5): add mtp support by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2372
* fix(qwen3.5): better support for hybrid models and auto device map by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2373
* feat(metrics): add engine metrics for scheduler status by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2374
* fix(qwen3.8): fixes around gdn rollback for qwen3.8 by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2377
* feat(mtp): support cuda graphs by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2379
* feat(gdn): in-place pooled recurrent state kernels, fused MLP, f32 gate params by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2382
* feat(cuda): CUDA graph batch buckets by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2384
* feat(metrics): improve engine metrics for ttft/itl and speculative by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2383
* perf(mtp): quantized drafter, device verify, stash-based GDN rollback, size-aware n_predict by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2385
* feat(speculative): DFlash and DFlash 2 block-diffusion draft models by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2386
* perf(dflash): batched drafter forward and adaptive draft depth by @EricLBuehler in https://github.com/EricLBuehler/mistral.rs/pull/2388


**Full Changelog**: https://github.com/EricLBuehler/mistral.rs/compare/v0.9.1...v0.9.2