# Decido model sizes and sources

> Decido is a laptop CPU decision model based on Gemma 4 26B-A4B. It ships as an 8-bit GGUF for llama.cpp and uses about 30 GB RAM.

Updated 2026-11-04 (Australia/Adelaide)

By decido-ai · Weights upload: 2026-10-22 · OPEN

An open decision model built to run on a laptop CPU: a LoRA fine-tune of Gemma 4 26B-A4B shipped as an 8-bit GGUF for llama.cpp, answering in the same wire format as [Jev](<https://decisionmodels.ai/models/jev>)'s System One API. The date is when the weights went up.

## Facts

- Size: Gemma 4 26B-A4B (about 4B active parameters), 8-bit GGUF, about 30 GB of RAM
- Licence: Apache-2.0
- Speed: A median 4.1 s for a 1,000-token document and 5 questions on an Apple M4 Pro CPU (maker's figure)
- Code: The decido-ai/decido GitHub repository was gone on 31 Oct 2026; the weights and model card remain on Hugging Face

## Claims and sources

- **VENDOR-REPORTED**: Scores a six-benchmark mean of 85.38 against [Jev](<https://decisionmodels.ai/models/jev>) 1.13's published 83.85, or 82.04 with the benchmarks' public training splits left out; the maker notes [Jev](<https://decisionmodels.ai/models/jev>)'s number is its published reference run, not [Jev](<https://decisionmodels.ai/models/jev>) run through the same harness [source](<https://huggingface.co/decido-ai/decido-26b-a4b>)

## Links

- [Source: Hugging Face](<https://huggingface.co/decido-ai/decido-26b-a4b>)

## Related projects

No related projects are listed in the registry.