/ashlr-ollama-setup

When to use

When you want ashlr__read to summarize the middle of large files with a local LLM instead of the heuristic snip-compact. Also needed for genome consolidation without a Pro token.

What it does

1. Checks if ollama is installed and running (ollama list)
2. If not running, shows the install command and the ollama serve invocation
3. Checks which models are pulled; suggests mistral:7b or llama3:8b if none suitable
4. Walks through pulling a model if needed
5. Updates ~/.ashlr/settings.json with summarize: true and summarizeModel: <model>

Output

Checking Ollama...

  ollama CLI:  found at /usr/local/bin/ollama
  Server:      running on localhost:11434
  Models:      mistral:7b (4.1 GB)

All good. Enabling summarization with mistral:7b...
Settings updated:
  summarize: true
  summarizeModel: mistral:7b

ashlr__read will now use Ollama for files over the snip threshold.

Minimum requirements

• Ollama 0.1.x or later
• 8 GB RAM (for 7B models with 4-bit quantization)
• Any model from the Ollama library — mistral:7b recommended for speed/quality balance

Related

• /ashlr-settings — view/change summarize settings manually
• Pro setup — use cloud summarization without Ollama