---

name: local-llm-ops description: Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics. version: 1.0.0 category: toolchain author: Claude MPM Team license: MIT progressive_disclosure: entry_point: summary: "Run local LLMs with Ollama: setup venv, start service, pull models, launch chat, benchmark, and diagnose." when_to_use: "Operating local LLMs on macOS, running Ollama-based chat sessions, or benchmarking models for speed/latency." quick_start: "1. ./setup_chatbot.sh 2. ./chatllm 3. ollama pull mistral (if no models)" tags:

• llm
• ollama
• local
• benchmark
• chat
• ops

---

Local LLM Ops (Ollama)

Overview

Your localLLM repo provides a full local LLM toolchain on Apple Silicon: setup scripts, a rich CLI chat launcher, benchmarks, and diagnostics. The operational path is: install Ollama, ensure the service is running, initialize the venv, pull models, then launch chat or benchmarks.

Quick Start

Copy./setup_chatbot.sh
./chatllm

If no models are present:

Copyollama pull mistral

Setup Checklist

1. Install Ollama: brew install ollama
2. Start the service: brew services start ollama
3. Run setup: ./setup_chatbot.sh
4. Verify service: curl http://localhost:11434/api/version

Chat Launchers

• ./chatllm (primary launcher)
• ./chat or ./chat.py (alternate launchers)
• Aliases: ./install_aliases.sh then llm, llm-code, llm-fast

Task modes:

Copy./chat -t coding -m codellama:70b
./chat -t creative -m llama3.1:70b
./chat -t analytical

Benchmark Workflow

Benchmarks are scripted in scripts/run_benchmarks.sh:

Copy./scripts/run_benchmarks.sh

This runs bench_ollama.py with:

• benchmarks/prompts.yaml
• benchmarks/models.yaml
• Multiple runs and max token limits

Diagnostics

Run the built-in diagnostic script when setup fails:

Copy./diagnose.sh

Common fixes:

• Re-run ./setup_chatbot.sh
• Ensure ollama is in PATH
• Pull at least one model: ollama pull mistral

Operational Notes

• Virtualenv lives in .venv
• Chat configs and sessions live under ~/.localllm/
• Ollama API runs at http://localhost:11434

Related Skills

• toolchains/universal/infrastructure/docker