ollama

Gemma 4 12B is a unified, encoder-free multimodal model bringing high-performance multimodal intelligence to your laptop. It matches the performance of our 26B MoE at less than half the memory footprint, supports native audio inputs, and runs locally on 16GB VRAM hardware with low-latency multi-step reasoning.

The optimal organization of AI agent systems depends on task complexity and model type; Google's research with 150+ experiments shows centralized/hybrid structures work best for OpenAI models, while Google models excel in decentralized coordination.

Gemma 4 QAT模型在Ollama和Hugging Face上线，显著降低内存需求并保持模型质量。

This article shows how to use locally hosted open‑source LLMs (Llama 3, Mistral, Gemma) via Ollama together with Scikit‑LLM to perform zero‑shot text classification, all for free.

Ollama 是运行本地语言模型的强大工具，通过 Modelfile 和环境变量可优化模型性能与硬件效率。

通过构建一个具有错误恢复机制的多工具 Gemma 4 代理，学习如何优雅地处理工具调用中的失败。

Gemma 4 enables true agentic behavior through local sandboxed tools like filesystem exploration and restricted Python execution.

This article discusses how local language models can be used for faster, more efficient tasks like document retrieval and code review without relying on cloud services. It highlights the benefits of running local models, such as no API keys or data transfer, and provides practical examples.

作者通过两次构建B2B文档提取器，比较了基于规则的传统方法和基于LLM的方法，探讨了复杂性和布局多样性对两种方法的影响。

The article introduces how to build an AI-powered learning management system using open-source tools, including personalized learning paths and dynamic quizzes.

OpenJarvis, built by Stanford’s HazyResearch and Scaling Intelligence labs, is a personal AI designed for local-first operation via Ollama, aiming for efficient low-power AI use without cloud dependency.

The M3 model by MiniMax is now available on Ollama Cloud, deployed in the US with zero data retention, optimized for coding and agentic tasks. It achieves 59.0%+ on SWE-Bench Pro and supports up to 1M context length via sparse attention.

Ollama adds more NVIDIA Blackwell GPUs to better support GLM-5.1 model in the cloud.

Peekaboo 3.0 is released with new features for macOS automation.

Ollama introduces OpenJarvis — a local-first personal AI tool that runs large language models offline, enhancing privacy and response speed for developers and enterprises.

Hermes 可以根据自然语言描述生成 Python 技能，并在使用过程中不断优化。

Google announces its model weights are compatible with major open-source ecosystems and can be directly downloaded from Hugging Face and Kaggle, lowering deployment barriers.

PewDiePie's Odysseus AI workspace is a self-hosted AI tool supporting Gemma-4 26B models with agent mode, deep research, and document editing features, but lacks technical depth analysis and performance data.

Ollama 0.24 adds support for the Codex app, which can be launched via command line.

Ollama recommends several models for use with Codex, including kimi-k2.6 and glm-5.1 with vision support.

Ollama launches its next-generation flagship model GLM-5.1 with significantly improved code generation capabilities.

文章介绍了Gemma 4模型的性能和适用场景，但信息密度较低，缺乏深度分析。

Hermes Desktop 可通过 Ollama 在多平台运行，支持本地和云端部署。

ollama has released Hermes Agent, an AI tool for generating code.

ollama announces that the Gemma 4 - 12B model is now available on its platform. Users can run the model via MLX, and it supports tools like Hermes Agent and Claude Code.

Ollama 宣布支持连接多个消息应用，但内容缺乏技术细节和实用价值。

Ollama announced the Minima model page via X, but provided no technical specs, performance data, or deployment guidance — low information density.

NVIDIA AI posted a tweet about @ollama on X, but the content lacks specific technical details.

Ollama provides a command to restore the default settings of Codex.

Ollama officially responds to service slowdowns, clarifying that model quality remains unchanged despite increased load from rapid user growth, with new GPU deployment underway.