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OLLAMA

9 items

8 posts, 1 guide

Blog
Ollama Decision Models: Run Nimble Locally with --ask

Ollama 0.40.4 runs decision models locally: ollama run nimble --ask answers yes/no, label and score questions with probabilities. Commands and limits.

Blog
Ollama 0.40 on Mac: MLX by Default, Disk Space Doubled

Ollama 0.40 runs supported models on MLX on Apple Silicon and keeps a backup copy of each model you load. What it costs in disk, what is fixed, and the cleanup.

Blog
GitHub Copilot CLI With Ollama: Local Models and the New Sandbox

Copilot CLI 1.0.94 finds local Ollama models from /model and ships an OS-level sandbox. Setup, the 4k context trap, and why local is not offline.

Blog
Hermes Agent Guide (2026): What It Is, Local Setup With Ollama, Skills, and Hermes vs OpenClaw

Hermes Agent is Nous Research's open-source, self-improving AI agent. Run it locally with Ollama, see how its skills system works, and compare it with OpenClaw.

Blog
What Is OpenClaw? Setup, Skills, MCP Server, Claude Code, and Ollama (2026 Guide)

What is OpenClaw? A self-hosted personal AI agent you reach through chat apps. Install, skills and ClawHub, its MCP server, Claude Code use, and Ollama models.

Blog
Ollama vs LM Studio vs vLLM vs llama.cpp: Picking a Local Runtime for Coding Agents

Ollama vs LM Studio vs vLLM vs llama.cpp for coding agents: what each local runtime is for, where they overlap, and which to pick for your setup.

Guide
Run AI Models Locally with Ollama and LM Studio

Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.

Blog
Microsoft PHI-4: A 14B Parameter Model That Rivals Models 5x Its Size

Microsoft PHI-4 is an MIT-licensed 14B model that matches Llama 3.3 70B on key benchmarks. See its specs, how to run it locally with Ollama, and when to use it.

Blog
Llama 3.3 70B: Meta's Cost-Effective Frontier Model

Llama 3.3 70B delivers 405B-class performance at a fraction of the cost. See the benchmarks, pricing versus GPT-4o, where to run it, and when to pick it.

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