chore(deps): bump transformers from 5.6.2 to 5.7.0 in /cmd/runtimes/deepspeed

[dependabot]

Bumps transformers from 5.6.2 to 5.7.0.

Release notes

Sourced from transformers's releases.

Release v5.7.0

New Model additions

Laguna

Laguna is Poolside's mixture-of-experts language model family that extends standard SwiGLU MoE transformers with two key innovations. It features per-layer head counts allowing different decoder layers to have different query-head counts while sharing the same KV cache shape, and implements a sigmoid MoE router with auxiliary-loss-free load balancing that uses element-wise sigmoid of gate logits plus learned per-expert bias for router scoring.

Links: Documentation

• Laguna XS.2 implementation (#45673) by @​joerowell in #45673

DEIMv2

DEIMv2 (DETR with Improved Matching v2) is a real-time object detection model that extends DEIM with DINOv3 features and spans eight model sizes from X to Atto for diverse deployment scenarios. It uses a Spatial Tuning Adapter (STA) for larger variants to convert DINOv3's single-scale output into multi-scale features, while ultra-lightweight models employ pruned HGNetv2 backbones. The unified design achieves superior performance-cost trade-offs, with DEIMv2-X reaching 57.8 AP with only 50.3M parameters and DEIMv2-S being the first sub-10M model to exceed 50 AP on COCO.

Links: Documentation | Paper

• model: Add DEIMv2 to Transformers (#44339) by @​harshaljanjani in #44339

Attention

Several attention-related bugs were fixed across multiple models, including a cross-attention cache type error in T5Gemma2 for long inputs, incorrect cached forward behavior in Qwen3.5's gated-delta-net linear attention, and a crash in GraniteMoeHybrid when no Mamba layers are present. Attention function dispatch was also updated to align with the latest model implementations.

• Fix cross-attention cache layer type for T5Gemma2 long inputs (#45540) by @​Beichen-Ma in #45540
• [Qwen3.5] Fix GDN linear attention multi-token cached forward (#45513) by @​kashif in #45513
• Fix GraniteMoeHybrid _update_mamba_mask crash on attention-only models (#45514) by @​tianhaocui in #45514
• Align latest model attention function dispatch (#45598) by @​Cyrilvallez in #45598

Tokenizers

There was a bug in AutoTokenizer that caused the wrong tokenizer class to be initialized. This caused regressions in models like DeepSeek R1.

• change got reverted (#45680) by @​itazap in #45680

Generation

Continuous batching generation received several fixes and improvements, including correcting KV deduplication and memory estimation for long sequences (16K+), and removing misleading warnings about num_return_sequences and other unsupported features that were incorrectly firing even when functionality worked correctly. Documentation for per-request sampling parameters was also added.

• generate: drop stale num_return_sequences warning on continuous batching path (#45582) by @​joaquinhuigomez in #45582

... (truncated)

Commits

• 6ffbb07 v5.7.0
• 18e7fd7 change got reverted (#45680)
• 2dff8f7 v5.7.0
• 93bed93 fixing more typos (#45689)
• a29e967 [docs] cb memory management (#45587)
• 2d01799 [docs] cpu offloading (#45660)
• 4aba716 docs(README_zh-hans): clarify conditions for not using Transformers (#45688)
• f4fc6d0 fix padding side issue for fast_vlm tests (#45592)
• 5d7ff43 Fix x_clip: 8 failed test cases (#45394)
• aadc005 zero_shot_object_detection ValueError fix for python 3.13 (#45669)
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