Data and AI releases

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Transformers Patch release v5.22.2

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This patch release includes security hardening for Jinja sandboxing and fixes for distributed training using NCCL.

LLMs

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Also shipped Nov 6, 2026Hugging Face in November 2026 →

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Transformers Release: v5.21.0

Transformers v5.21.0 introduces the MiniCPM-OCR document-understanding model and the Flint mixture-of-experts language model. These additions expand the library's support for specialized vision and language tasks.

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ThinkingBox-Training released

ThinkingBox-Training is now available to post-train agents using executable database state as a reward. The framework uses offline policy-relative difficulty to select training tasks and improve agent dependability.

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Transformers Patch release v5.20.2

Patch release: v5.20.2 This patch notably solves an issue where some inputs could loose their original type inside prepare_inputs_for_generation in generate, leading to problems with multimodal models. It also fixes some other issues listed on the below commits.

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Transformers Release v5.20.1

Release v5.20.1 Special surprise including the new model Beam from Reflection AI :partying_face: Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases. It is built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud, and customize it to their specific needs.

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Transformers Release v5.20.0

Release v5.20.0 New Model additions Muse Spark Open Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text. It has 816B total parameters (42B active per token) and a context window of up to 1,048,576 tokens shared across modalities.

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