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lygo-console-models
DeepSeekOracle/lygo-console-models
lygo-console-models is a machine learning model from DeepSeekOracle. 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.
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-time downloads
379
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Repo size
12.5 GB
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Repo makeup
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.gguf12.5 GB · 100%
At a glance
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- 9706c43f
Model card
From the Hugging Face model README
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
- Library
- gguf
- License
- apache-2.0
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026