Transformers

v5.13.1 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 15d LLM Frameworks

✓ No known CVEs patched

✓ No known CVEs patched in this version

Topics

audio machine-learning deepseek gemma glm llm

+11 more

model-hub natural-language-processing nlp pretrained-models python pytorch pytorch-transformers qwen speech-recognition transformer vlm

Summary

AI summary

Fixed handling of legacy and new linear layer type names for custom models.

Type	Severity	Summary	CVE
Bugfix
Bugfix	Medium	Fixes custom code unaware of new linear layer type names. Fixes custom code unaware of new linear layer type names. Source: llm_adapter@2026-07-15 Confidence: high	—
Bugfix	Medium	Fixes case where _LazyAutoMapping.register receives a string key. Fixes case where _LazyAutoMapping.register receives a string key. Source: llm_adapter@2026-07-15 Confidence: high	—
Bugfix	Low	Adds defensive handling in remap_legacy_layer_types for custom models. Adds defensive handling in remap_legacy_layer_types for custom models. Source: llm_adapter@2026-07-15 Confidence: high	—

Full changelog

This patch is focused on enabling transformers for the latest release of vllm!

Be more defensive with remap_legacy_layer_types for custom models (#47245) from @hmellor
Fix custom code which doesn't know about the new linear layer type names (#47174) from @hmellor
Fix case where _LazyAutoMapping.register is passed a str key (#47148) from @hmellor

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About Transformers

v5.9.0 `text_embeds` input for SAM3, EdgeTAM, and SAM3-Lite-Text now expects full text embeddings instead of pooler outputs.