# Hermes Ollama Models

Native-like Hermes dashboard plugin for inspecting and managing a local Ollama installation.

## Included

- Installed and currently loaded Ollama model inventory
- Model size, loaded memory, estimated RAM, quantization, context, capabilities, and strengths
- Dense versus MoE classification
- Search, popular models, family variants, downloads, updates, and removal actions
- MLX model exclusion
- RAM-aware Popular view for the current 30 GiB host

## RAM-aware Popular policy

The Popular view only displays models with known size and known estimated baseline RAM at or below 30 GiB. When an oversized popular family has a known smaller fitting variant, the smaller variant is shown instead. Equivalent model footprints are deduplicated.

The estimate is a baseline and actual usage varies with context length, KV cache, GPU offload, batching, and runtime overhead.

## Layout

- `plugin.yaml` — Hermes plugin metadata
- `dashboard/manifest.json` — native dashboard registration
- `dashboard/plugin_api.py` — Ollama API and catalog backend
- `dashboard/dist/index.js` — dashboard UI bundle
- `dashboard/dist/style.css` — dashboard styles

Runtime catalog data is intentionally stored in Hermes state rather than committed here.