4Hugging Face Blog·
Thinking Machines releases Inkling model, hosted on Hugging Face
Hugging Face published a welcome post for Inkling, a new model from Thinking Machines, indicating the model is being hosted or spotlighted on the Hugging Face platform. The body content is empty, so specific capability details, benchmarks, or architecture information are not available from this item. The announcement signals a new entrant in the open-weights or hosted model space from a Southeast Asian AI lab.
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Inkling: A new open-weights model release
Simon Willison links to or comments on 'Inkling,' described as an open-weights model release. The body of the item is empty, so specific technical details, the releasing organization, and benchmark claims are not available from this source. The open-weights framing suggests relevance to the ongoing tracking of open-weights model progress.
Thinky releases Inkling 975B-A41B multimodal open-weights model, claims best American Apache 2.0 open model
Thinky has released Inkling, a 975B-A41B multimodal open-weights model under Apache 2.0 licensing, alongside a smaller Inkling-Small at 276B-A12B. The release is described as the best American Apache 2.0 open model, marking Thinky's first full LLM release. The MoE architecture (active parameter counts suggest sparse mixture-of-experts) and permissive licensing make this a notable entry in the open-weights space.
Introducing HUGS - Scale your AI with Open Models
Hugging Face announced HUGS (Hugging Face Generative Services), a new product aimed at helping enterprises scale AI deployments using open models. The service appears to target production inference infrastructure for open-weight models, positioning Hugging Face as a managed deployment layer. This is a product launch in the enterprise AI infrastructure space, competing with managed inference offerings from other providers.
Hugging Face Launches Inference Providers on the Hub
Hugging Face has introduced Inference Providers on the Hub, a feature that allows users to run models hosted on the Hub through third-party inference providers directly from the platform. This integration consolidates access to multiple inference backends under a unified interface, reducing friction for developers who want to deploy or test models at scale. The announcement positions Hugging Face as a marketplace layer connecting model authors with inference infrastructure providers.
Featherless AI Joins Hugging Face Inference Providers
Hugging Face has added Featherless AI as a new inference provider in its Inference Providers ecosystem. Featherless AI specializes in serverless inference for open-weight models, expanding the range of third-party compute options available through the Hugging Face platform. This integration allows developers to route model inference requests to Featherless AI directly via the Hugging Face API and model hub.
Deploy models on AWS Inferentia2 from Hugging Face
Hugging Face has announced support for deploying models on AWS Inferentia2 via Hugging Face Inference Endpoints. The integration allows users to deploy popular open-weight models on AWS's custom ML accelerator chips directly from the Hugging Face Hub. This expands the hardware options available for cost-effective inference beyond standard GPU instances.
Data Points: Thinking Machines Interaction Model, ERNIE 5.1, Co-Mathematician, RL Conductor, and More
This edition of The Batch covers five notable AI developments: Thinking Machines' research preview of an 'interaction model' with a 200ms micro-turn multimodal architecture; Baidu's ERNIE 5.1, a compressed derivative of ERNIE 5.0 using only 6% of typical pre-training compute; Google DeepMind's Co-Mathematician collaborative workbench reaching 48% on FrontierMath Tier 4; a 7B RL Conductor model that orchestrates multi-agent workflows via reinforcement learning; and Google's Magic Pointer cursor system powered by Gemini. Secondary items include GitHub Copilot pricing restructuring ahead of usage-based billing.
Hugging Face Adds Three New Serverless Inference Providers: Hyperbolic, Nebius AI Studio, and Novita
Hugging Face has expanded its serverless inference provider ecosystem by integrating three new partners: Hyperbolic, Nebius AI Studio, and Novita. These providers offer API-based inference for models hosted on the Hugging Face Hub, increasing the options available to developers for deploying open-weights models without managing infrastructure. The expansion reflects growing competition in the inference-as-a-service market targeting open-source AI workloads.