# local-llm-ops

> Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics.

- Skill: `bobmatnyc/local-llm-ops` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add bobmatnyc/local-llm-ops`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bobmatnyc/local-llm-ops/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: bobmatnyc (https://skillmd.com/u/bobmatnyc)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/bobmatnyc/local-llm-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

```bash
./setup_chatbot.sh
./chatllm
```

If no models are present:

```bash
ollama 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:

```bash
./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`:

```bash
./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:

```bash
./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`