genmount
Genmount OS client — run Genmount models locally, with an authenticated cloud fallback.
genmount is the user-side thin client for Genmount OS. It runs models locally on your machine via Ollama and routes hard cases to an authenticated cloud — shipping no model weights and running no server kernel on your device.
pip install genmount
🚀 Quickstart
pip install genmount
genmount doctor # check Python, Ollama, config
# Get a model (gated, free) from Hugging Face, then load it into Ollama:
# https://huggingface.co/doorm-ai/Llama-3.2-3B-genmount-tcm-GGUF
ollama create genmount-tcm -f Modelfile # FROM ./<file>.gguf; PARAMETER repeat_penalty 1.15
genmount chat "What does the classical literature say about ..." # runs 100% locally
No account needed for local use — chat runs entirely on your machine via Ollama. Registration is only for cloud features (model sync / cloud fallback — rolling out):
genmount init --register # optional: collects name / org / email / intended use
Your device keypair is generated locally and never leaves your machine.
🧰 Commands
| Command | Status | What it does |
|---|---|---|
genmount doctor |
✅ | Health check: Python, Ollama, config, device key — works offline |
genmount init |
✅ | Generate a local device keypair + write config; --register activates against the cloud |
genmount chat "…" |
✅ local | One-shot prompt to your local Ollama model |
genmount upgrade [--check] |
✅ | Compare the installed version against the latest on PyPI |
genmount chat --cloud |
⏳ | Route hard cases to authenticated cloud inference |
genmount sync |
⏳ | Download + install the models your account can access into Ollama (sha256-verified) |
🔐 Auth — zero shared secrets
- A per-device ED25519 keypair is generated on your machine; the private key never leaves it.
- An activation code exchanges your public key for a short-lived JWT plus per-request signatures.
- By design, the client cannot disable or bypass server-side audit, redaction, or rate limiting.
🔭 Where this client sits
| Tier | Scope | This repo? |
|---|---|---|
| L3 Production | Production weights, clinical adapters, partner data | 🔒 Closed |
| L2 Finetune-Workbench | Training pipeline + quality gates | Sibling repo (pending) |
| L1 Platform | Gateway · state space · audit · redactor · runtime | Sibling repo (pending) |
| Client | Local runner + authenticated cloud glue | ← You are here |
The client is base-model agnostic — it talks to Genmount OS over a stable, authenticated API and is not tied to any one model or release schedule.
📦 Models
Genmount's traditional-medicine education models are distributed (gated, free registration) on Hugging Face — Built with Llama:
doorm-ai/Llama-3.2-3B-genmount-tcm-GGUFdoorm-ai/Llama-3.2-3B-genmount-ayurveda-GGUFdoorm-ai/Llama-3.2-3B-genmount-tibetan-GGUF
Run with repeat_penalty 1.15 (the genmount client sets this for you).
⚖️ Scope & safety
Outputs are educational / reference material over classical texts — not a diagnosis, prescription, dosing, or treatment recommendation, and not a medical device (non-SaMD). Always consult a qualified practitioner.
📡 Stay updated
- ⭐ Star to follow releases · 👁 Watch → Custom → Releases for drop notifications
- 💬 Discussions · 📬 Issues
📚 Companion artifacts
- 🌐 genmount.com — product site
- 🧩 Genmount WorldModel-OS — L1 platform skeleton (pending public release)
- 🛠 Genmount Finetune-Workbench — L2 training workbench (pending)
💼 Commercial / non-AGPL licensing
For commercial use outside AGPL-3.0-or-later terms, or partner integrations:
DOORM AI PTE. LTD. (UEN 202441729W) · Singapore
1 maintainer
Metadata
1 maintainer
Release files for genmount 0.1.2
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| File | Size | Uploaded | Provenance | |
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|---|---|---|---|---|
| genmount-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 97.7 kB
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| Tags | Python 3 |
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