Releasesby GlyphTransformers 5.22.0: Mistral Large 4 (Le Chonk)
New Models Mistral Large 4 (Le Chonk) Mistral Large 4 is Mistral's largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters...
Also shipped Oct 29, 2026Hugging Face in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Dashboard relationships are now generally available
Dashboard relationships, which enable multi-fact data models in AI/BI dashboards, are now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
More from TransformersEvery Transformers release →
Transformers Patch release v5.21.1
Patch release v5.21.1 ** Fix rope_scaling setter for configs that assign it during init (#50080 ) We broke remote code loading in vllm, this fixes it sorry everyone!
Transformers Patch release v5.22.1
Transformers patch release v5.22.1 fixes documentation errors.
Transformers Release: v5.21.0
Release v5.21.0 New Model additions MiniCPM-OCR MiniCPM-OCR is a document-understanding model from OpenBMB's MiniCPM-V family. It keeps the MiniCPM-V 4.6 architecture, which pairs a SigLIP vision encoder and a window-attention merger with a Qwen3.5 language model.
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.
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.
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.
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.
Transformers Release v5.19.0
Release v5.19.0 New Model additions EmbeddingGemma2 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture. It encodes text, images, audio, and video, individually or combined in one input, into a shared 768-dimensional vector space for cross-modal retrieval, semantic similarity, clustering, and classification.