Thomas

Fine-tune a small calibrated encoder classifier on Modal and rate it with gonogo. Every GPU launch goes through the human approval gate with the exact config shown; data checks and evaluation run locally for free.

Good to know before installing

Thomas_encoder_train spends the user's Modal GPU credits and uploads the chosen training JSONL rows to Modal after the human approval gate; the base model is downloaded from Hugging Face on the Modal side. Training and inference run in a separate Python interpreter the user configures via THOMAS_PYTHON (with the author's thomas package, torch and modal installed); the Hermes venv only gets gonogo-eval. Runs and artifacts are written under HERMES_HOME/thomas/runs; the eval tool writes report files to the path the model supplies.

From the plugin's catalog listing.

How to install

Install it. Hermes asks for any API keys it needs, then asks whether to turn it on.
hermes plugins install thomas
Said no? Turn it on later:
hermes plugins enable thomas
Restart Hermes so it loads the plugin.

Some plugins also need a sign-in or settings: see Full setup & settings. Memory plugins ask whether to become your memory provider instead. Steps follow the official plugins guide (opens in a new tab).

Category: Coding & developer tools
Maintained by: keppy (Community)
Needs: No API keys declared
Adds tools: thomas_check_data thomas_encoder_train thomas_run_status thomas_encoder_eval
Works on: linux, macos
Needs Hermes: 0.21 or newer
Version: 0.1.3
In the catalog: 2026-09-26, updated 2026-10-26

Full setup & settings ↗Source code ↗

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