Release v5.14.0

Release v5.14.0 huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k Release v5.14.0 ArthurZucker released this 15 Jul 19:02 · 734 commits to main since this release v5.14.0 2fa8c19 Release v5.14.0 New Model additions Inkling (fresh from Thinking Machines): 975B total, 41B active Add Inkling model #47347 by @molbap @Cyrilvallez @eustlb and @zucchini-nlp Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages.

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• huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k Release v5.14.0 ArthurZucker released this 15 Jul 19:02 · 734 commits to main since this release v5.14.0 2fa8c19 Release v5.14.0 New Model additions Inkling (fresh from Thinking Machines): 975B total, 41B active Add Inkling model #47347 by @molbap @Cyrilvallez @eustlb and @zucchini-nlp Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs.
• It is intended for use in English and other languages, and across multiple coding languages.
• The model is designed to be used by developers building AI- powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and multimodal tasks.
• It is released with open weights to support research, fine-tuning and integration into third-party products by downstream developers.
• TIPSv2 Links: Documentation Add TIPSv2 ( #46347 ) by @Ternura143 in #46347 TIPSv2 DPT Links: Documentation Add TIPSv2 ( #46347 ) by @Ternura143 in #46347 🚨 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.
• 🚨 Fix GPTBigCode and GPTNeoX for the Transformers modelling backend for vLLM ( #47198 ) by @hmellor Kernels Several kernel-related fixes and improvements were made, including pinning the kernels dependency to a compatible version in the benchmark workflow, removing a deprecated package_name argument from LocalLayerRepository , and making the DeepGEMM Triton fallback more robust when CUDA_HOME is unset or misconfigured.