Data and AI releases

548 this month · 176 companies

Transformers Patch release: v5.15.1

UpdateVerified

Patch release v5.15.1 This patch most notably solves a few issues with DFlash and MTP candidate generators, as well as an issue where images could sometimes not be processed on accelerator if using Lanczos filter.

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Also shipped Aug 19, 2026Hugging Face in August 2026 →

Data movement policies (General availability)

With this release, data movement policies are now generally available for Enterprise Edition (or higher). Data movement policies are part of Snowflake’s data exfiltration protection controls. These SQL-style conditional policies can help you limit, alert on, or block data movement operations based on specific movement types.

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Organization Features in Organization Command Center (Preview)

Organization Features is now in preview in Organization Command Center. From the organization account, a user with the GLOBALORGADMIN role can open Organization Hub » Command center , then the Organization Features tile, to see which organization-level capabilities are enabled. In preview, the main control is premium views for cross-account telemetry.

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Organization Command Center 3rd party access configuration (Preview)

3rd party access configuration is now in preview in Organization Command Center. From the organization account, a user with the GLOBALORGADMIN role can open Organization Hub » Command center , then the 3rd party access configuration tile, to classify member accounts as internal or external, set the default tenant type for new accounts, and maintain allowed...

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More from TransformersEvery Transformers release →

Transformers Release v5.16.1

Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) GLM-5.3-Flash GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series.

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Transformers Release: v5.16.0

Release v5.16.0 New Model additions Qwen4-Exp Qwen4-Exp builds on Qwen3.5's hybrid text and multimodal architecture with three key components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). GR is a Qwen-developed residual architecture that combines Hyper-Connection with GatedNorm.

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Transformers Release: v5.15.0

Release v5.15.0 New Model additions Meta Muse Glimmer Muse Glimmer, released today, is Meta’s new multimodal model, especially designed for agentic use cases. Distilled from Muse to 30B parameters, and released under the Apache 2.0 license, it can be deployed to local setups for privacy-aware applications such as coding, document analysis, personal...

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Transformers Release 5.17.0

Release v5.17.0 New Model additions HYV4 Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed experts plus one always-active shared expert and routes every token to 8 of them. The context window is 1M tokens.

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Transformers Patch release: v5.14.1

Patch release v5.14.1 This patch solves a few issues which appeared when integrating Inkling model, most notably an issue affecting models using EncoderDecoderCache during assisted generation. It also fixes an issue that could appear during prefill with StaticCache and sdpa without padding for Inkling which uses a position_bias.

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Transformers Release v5.14.0

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.

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Transformers Patch release v5.13.1

Patch release v5.13.1 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...

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Transformers Release 5.18.0

New Model additions Nemotron 3 Diarization Nemotron 3 Diarization is an open-weight streaming speaker diarization model designed to determine "who spoke when" in real-world audio. It supports both streaming and offline inference, handles up to eight speakers, and orders speaker outputs by each speaker's first arrival in the input audio.

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