Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)

* fix: lock version in gemma3n docs

* feat: add sample configs and docs

* chore: move mistraltokenizer into mistral folder

* feat: update instructions

* feat: add dynamic load voxtral

* fix: remove incorrect vision config, add audio

* fix: support voxtral processing strategy and address none in data

* feat: patch mistraltokenizer subclass upstream and add missing

* feat: update cce commit to include voxtral

* fix: remove old comment

* fix: gemma3 patch not needed anymore

* fix: voxtral modeling code

* fix: remove incorrect ds path

* fix: adjust apply chat template parsing

* feat: enable voxtral patch

* fix: patch

* feat: update example datasets

* fix: target layer

* feat: update gemma3n docs

* feat: update voxtral docs

* feat: revert assistant parsing to rely on new upstream changes

* chore: skip test till next PR fix

* fix: override upstream decode due to missing handling

* feat: update readme

* fix: update

* feat: add magistral small think support

* feat: update mistral-common dep

* fix: lint

* fix: remove optional dep

* chore: typing

* chore: simply import

* feat(doc): update differences for 2507

* fix: coderrabbit comments

* feat: update clarify docs on new transformers

README.md

@@ -25,6 +25,7 @@
 
 ## 🎉 Latest Updates
 
+- 2025/07: Voxtral with mistral-common tokenizer support has been integrated in Axolotl. Read the [docs](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/voxtral)!
 - 2025/07: TiledMLP support for single-GPU to multi-GPU training with DDP, DeepSpeed and FSDP support has been added to support Arctic Long Sequence Training. (ALST). See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/alst) for using ALST with Axolotl!
 - 2025/06: Magistral with mistral-common tokenizer support has been added to Axolotl. See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral) to start training your own Magistral models with Axolotl!
 - 2025/05: Quantization Aware Training (QAT) support has been added to Axolotl. Explore the [docs](https://docs.axolotl.ai/docs/qat.html) to learn more!