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firela-ai/firela-pa-pc
firela-pa-pc is a machine learning model from firela-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
firela-pa is a Sovereign Personal AI — a FIRE financial advisor that lives on your own device: your device decides what ever leaves, its memory of you never leaves home, and the cloud is used only when needed — with t…
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From the Hugging Face model README
firela-pa is a Sovereign Personal AI — a FIRE financial advisor that lives on your own device: your device decides what ever leaves, its memory of you never leaves home, and the cloud is used only when needed — with the question redacted, the provider swappable, and your identity never on the cloud side.
Sovereign Personal AI = personal service × three user-held rights × zero-tracking foundation
- Classification right — a router built from rules you can read, running on your device, decides what leaves — not an OS vendor
- Memory right — voice and agent memory never leave the device; transaction-level ledger data never goes to the cloud (aggregates only, under a field-level egress policy)
- Cloud-leg right — anything that goes to the cloud passes a redaction gateway first, and the provider is swappable at any time
The PC distribution of firela-pa. Its privacy router is rules you can read: a tiered rules-as-data engine (13 rules + a precedent table + word tables, shipped as plain JSON inside the app — open router_precedents.json and read exactly what gets classified where; three intents: ledger query / local chat / redacted-cloud; 370-question eval, all four gates green). The default install footprint is pure code — no model download required for routing.
What leaves your device is decided by rules you can read, not weights you can't; compute is borrowed — redacted first, returnable.
An optional 1.7B precision layer (task-fine-tuned Qwen3 LoRA merge, GGUF) is available via install.sh --router.
bash <(curl -fsSL https://huggingface.co/firela-ai/firela-pa-pc/resolve/main/install.sh)
Automatically: downloads the app tarball from this repo (sha256-verified — the rules engine rides along, no model download) → installs/starts Ollama only if needed (generation model / precision layer) → pulls the generation model qwen2.5:3b-instruct (--no-gen to skip) → interactive 0600 config (vlt / relay credentials, may be left blank) → Time Machine exclusion → firela-pa command → smoke test (routing smoke runs with zero dependencies). Add --router to also install the optional precision layer, --voice for the fully-local voice chain.
Privacy boundary: the control plane never leaves home — routing, redaction, memory and credentials live on your device; the cloud is used only for borrowed compute, with the question redacted first and only aggregate ledger data attached (field-level egress policy — transaction details never go to the cloud).
| File | Purpose |
|---|---|
pc-app.tar.gz | orchestrator + rules router (readable JSON) + redaction gateway + simulation engine + memory + audit (pure-stdlib Python, 16 files) |
router-merged-Q4_K_M.gguf | optional precision layer, default tier (1.1 GB, --router) |
router-merged-Q8_0.gguf | optional precision layer, quality tier (1.9 GB) |
install.sh | one-line installer |
Source code (Apache-2.0, snapshot + single-egress CI gate): https://github.com/firela-ai/firela-pa
Everything in this repo — pc-app.tar.gz, install.sh, router-merged-Q4_K_M.gguf, router-merged-Q8_0.gguf — is provided under Apache License 2.0.
The optional precision-layer model is a LoRA fine-tune merge derivative of Qwen3-1.7B (© 2024 Alibaba Cloud / Qwen team, Apache-2.0). Redistribution must include the LICENSE copy as per Apache-2.0 §4.
firela-pa is an AI tool, not a licensed financial advisor. Simulation results are historical scenario analyses, not predictions.