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.