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license: apache-2.0
library_name: gguf
tags:
- gguf
- llama.cpp
- local
- vision
- audio
- offline
---
# LYGO Console Models — the weights behind the LYGO LLM Console (V1)
Weights store for the offline, local-first **LYGO LLM Console** (PC LOCAL and USB
LOCAL) and for the light installers, which fetch from **this repo only** — never
from a third-party mirror, never from a moving branch.
All builds and installers are listed at
**<https://chatagent.ca/lygoskillhub.html>**.
Model host: this repo · GitHub mirror:
<https://github.com/DeepSeekOracle/lygo-console-models>
## Files
| file | bytes | SHA-256 | licence / origin |
|---|---|---|---|
| `gemma4-12b.gguf` | 7,381,382,048 | `1278394b693672ac2799eadc9a83fd98259a6a88a40acfb1dcaa6c6fc895a606` | Gemma 4 12B Unified, Apache-2.0 (Google) — text, image, audio |
| `gemma4-12b-mmproj.gguf` | 175,115,584 | `675ad6e68101ca9413ec806855c452362f0213f2dfc5800996b086fdb8119842` | vision/audio projector for the above |
| `qwen2.5-coder-7b.gguf` | 4,683,074,048 | `60e05f21…` (see `models.lock.json`) | Qwen2.5-Coder-7B-Instruct, Apache-2.0 (Alibaba) |
| `nomic-embed-text-latest.gguf` | 274,290,656 | `970aa74c…` (see `models.lock.json`) | nomic-embed-text, Apache-2.0 |
| `models.lock.json` | 3,883 | — | pinned revisions + digests for the fetcher |
| `fetch_models.py` | 11,248 | — | the fetcher the light installers ship |
| `LICENSE-APACHE-2.0.txt` | 11,358 | — | Apache License 2.0 (full text) |
`models.lock.json` is the authority: it pins immutable revisions
(`…/resolve/<revision>/…`) and a SHA-256 per file. The digests above are what the
console verifies at boot.
## Fetch, don't click
```
python fetch_models.py --list
python fetch_models.py --profile basic --dest D:\LYGO_MODELS # gemma4-12b + projector
python fetch_models.py --profile full --dest D:\LYGO_MODELS # all four
```
The fetcher resolves every URL through the pinned revision in `models.lock.json`,
downloads from this repo, verifies SHA-256, and only then keeps the file.
`--check --dest <dir>` verifies an existing collection without downloading.
## Sizing
The console's rule is `model size × 1.6 + 2 GiB ≤ max(free RAM, half of installed)`.
gemma4-12b needs ~32 GB RAM (or a GPU with VRAM to spare — ~80 of 99 layers fit an
8 GB card). On 8–16 GB machines use a 1.5B–3B Q4 model instead; on 64 GB+ go bigger.
The console boots whatever you put in `models\`, so a better system is a drop-in
upgrade with no reinstall.
## Licences and attribution
Model weights are Apache-2.0 as published by their authors; the full Apache-2.0
text is included here. **Gemma** is a trademark of Google LLC; **Qwen** of Alibaba
Group. These weights are redistributed unmodified with attribution. This repo is
**not affiliated with or endorsed by** Google, Alibaba, Meta, or the llama.cpp
project (engine: llama.cpp b10988, MIT).
The console source is licensed under the **LYGO Sovereign License v3.0** — free to
use and build on; not MIT; not for resale, rebranding or white-labelling. Legal
summary: <https://chatagent.ca/portal/legal.html>
Nothing here is medical, legal or financial advice. AI output can be confidently
wrong — verify before you act on it.
Steward: **Justin Helmer** (Lightfather / Excavationpro) · signature `Δ9Φ963`
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