Articles tagged "Ollama"

A practical migration guide to building a Claude replacement using Qwen 3.5-9B (refreshed Q2 2026). Apache 2.0 license, 262K context, runs on 16GB RAM. Complete coverage from Ollama setup to API migration, prompt conversion, cost comparison, and current limitations as of April 2026.

Comprehensive comparison of the top 10 local LLMs as of April 2026. Covers SWE-bench scores, Japanese language performance, VRAM requirements, Ollama commands, and licensing for Gemma 4, Llama 4, Qwen 3.5, GLM-5.1, Kimi K2.5, MiniMax M2.5, and more.

Complete guide to Google Gemma 4 (released April 2, 2026): 4 model variants (E2B/E4B/26B MoE/31B Dense), Apache 2.0 license, system requirements, multimodal capabilities, AIME 89% benchmark, 140+ languages, and step-by-step Ollama installation and setup instructions.

A practical implementation guide for SMBs to leverage Gemma 4 locally and eliminate cloud API costs entirely. Learn how to achieve cost savings with just 25-day ROI period, plus 5 concrete use cases including customer support, document generation, and development assistance.

By combining Ollama and OpenClaw, you can build AI agents on Mac mini that dynamically switch between multiple LLMs. This article provides detailed practical steps from Ollama installation to model management, OpenClaw integration configuration, and performance comparison. We introduce how to build a local AI infrastructure that can be adopted by SMBs and startups, especially in Shinagawa, Minato, Shibuya, Setagaya, Meguro, and Ota wards.

This article explains how to build an internal AI chatbot with zero API costs using Ollama and OpenClaw. We introduce implementation methods for cost reduction crucial to SMBs, integration with existing Slack and LINE, conversation memory, and FAQ automation. Centered in Shinagawa, Minato, Ota, and Meguro wards, we propose a zero-cost AI strategy that can start with existing Mac hardware.

This article explains how to build a RAG (Retrieval-Augmented Generation) customer support system by combining Ollama's embedding models with OpenClaw agents. Through vector database integration, you can generate accurate answers from FAQ documents and deploy AI support across multiple channels like LINE and Slack.

This article provides a detailed explanation of how to create business-specific custom AI models using Ollama's Modelfile feature and deploy them with OpenClaw. We cover practical techniques including prompt engineering, parameter tuning, importing GGUF format models, and A/B testing through multi-agent routing.

Build your own AI agent easily with Mac mini M4, Ollama, and OpenClaw. This beginner-friendly guide walks you through everything from Homebrew installation to model downloads and LINE/Slack integration, step by step. Supporting Tokyo-area businesses in Shinagawa, Minato, Shibuya, and beyond with AI agent implementation.