# Hugging Face Transformers v5.14.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v5.14.0
- **Released:** Jul 15, 2026
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v5.14.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v5.14.0. Source highlight: Inkling (fresh from Thinking Machines): 975B total, 41B active

## Breaking Changes & Deprecations
- :rotating_light:  Breaking changes GPTNeoX now remaps `embed_out` to `lm_head` and GPTBigCode has `_supports_attention_backend = True` enabled for vLLM compatibility; users relying on the previous weight naming or attention backend behavior for these models should update their code accordingly.

## New Features
- Add Inkling model #47347 by @molbap @Cyrilvallez @eustlb and @zucchini-nlp
- Add TIPSv2 (#46347) by @Ternura143 in #46347
- Add TIPSv2 (#46347) by @Ternura143 in #46347
- [generate] Add proper MTP support (#46229) by @Cyrilvallez in [#46229]
- [Generation] Add static ensemble verification for lossy speculative decoding (#45979) by @kasakh in [#45979]
- Remove executorch from all-latest-gpu image + add torch smoke test (#47196)

## Improvements
- Make doc builds faster (#47099) by @mishig25 in [#47099]

## Bug Fixes
- :rotating_light: Fix GPTBigCode and GPTNeoX for the Transformers modelling backend for vLLM (#47198)
- [Fix] Remove deprecated argument from `kernels` call (#47100) by @remi-or in [#47100]
- [Fix] Make DeepGEMM triton fallback more robust (#47126) by @remi-or in [#47126]
- [generation] Fix misleading synced_gpus warning in continuous batching (#47158) by @Partha-Shankar in [#47158]
- Fix crash in greedy assisted generation with different tokenizers (#46936) by @Sunt-ing in [#46936]
- Fix FA performance regression (#47134) by @andreasgoulas in [#47134]

## Upgrade Command
```bash
python -m pip install 'transformers==5.14.0'
```