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Open Source Models

211 summarised stories about Open Source Models, each linking back to the original source. Browse all topics →

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Wednesday, 7 October 2026

Nous Research confirms it hit $1.5B valuation, launches AI agents for business users

TechCrunch 1 week ago 46 ● 3 sources

Nous Research raised a $90 million Series B to confirm its $1.5 billion valuation and launched “Hermes for Businesses.” The funding round values the company at $1.5 billion. It will push Nous into enterprise deployments of customized multi-step AI agents that keep customer data private and secure, aiming to grow revenue beyond $100 million in 2026.

Google launches private multimodal search powered by ‘EmbeddingGemma 2’

Google 1 week ago 1 ● 7 sources

Google launched EmbeddingGemma 2, a private multimodal on-device search embedding model that maps text, images, audio, and video into one embedding space. It has 740 million parameters and supports an 8K token context window. Developers can now build fully offline cross-modal semantic search and retrieval (including on-device RAG) using the new open Apache 2.0 model and its smaller, truncated vector outputs for local storage.

OpenCharm

Product Hunt 1 week ago 17

OpenCharm launched as an open-source hardware “body” that sits by a Mac’s notch to control an AI agent hands-free via a single key press. The listing says you “Hold one key” to talk so tools like Claude Code or Codex can start and ask for input. It changes how you interact with already-running AI agents by turning voice and handoff prompts into a one-key physical workflow.

Now in Nature: Retrofitting language models to operate over bytes

Allen Institute (AI2) 1 week ago 8

Ai2 published the Bolmo research in Nature and released new Hugging Face checkpoints for byte-level language models beyond the original Olmo-based versions. The release includes Stage 1 checkpoints that freeze the global model while training Bolmo’s byte-level components. This enables faster retrofitting of subword models into competitive byte-level models and supports broader experimentation without retraining from scratch.

Meta AI Open-Sources Rebalancer: A C++ Assignment Solver That Runs About 40 Million Placement Problems a Day

MarkTechPost 1 week ago 16

Meta open-sourced Rebalancer, a C++ (with Python interface) library for solving constrained assignment problems, and provides installation packages plus a debugging UI. The release is available via PyPI as version 1.0.4 for Python 3.12+ and reports a P99 solve time of 12 seconds on 265k objects and 3.2k bins at Meta. Rebalancer changes resource-allocation workflows by letting teams specify problems separately from the solving method, then using local search or MIP backends depending on problem size.

A Developer’s Guide to Laya: Zero-Shot Decisions and Calibration

MarkTechPost 1 week ago 45

Laya, Convai Innovations’ open-source non-autoregressive decision engine, is evaluated in a tutorial by running typed multiple-choice/score/yes-no queries and checking zero-shot behavior on labelled CLINC150 banking data. The guide specifies a 421-million-parameter encoder that scores all options in a single forward pass with zero output tokens. It reports how option wording/order, probability calibration via temperature, and an abstention gate affect accuracy and the trustworthiness of the returned probabilities for a production-style router.

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