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decido-ai/decido-26b-a4b

AI model by decido-ai

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A calibrated decision model that runs on a laptop CPU. Give it a document (state) and typed questions — yes/no (noul), pick-one (choice), or ordered scale (score) — and it returns a probability for every answer. It is a LoRA fine-tune of Gemma 4 26B-A4B (26B parameters, 4B active per token), shipped as an 8-bit GGUF for llama.cpp. On the six public benchmark groups used to compare open reproductions of TypeSafe's Jev 1.13, the shipped CPU file scores a six-group mean of 85.38 vs Jev 1.13's published 83.85 — trained on public data, with no Jev outputs and no Claude outputs in training. Shipped GGUF (Q80). Five groups measured CPU-only; OpenJev on the same file via llama.cpp CUDA (all 222k requests; a CPU-only 300-per-task sample agrees on 97.4% of items). The last two columns are GPU bf16 runs of the zero-shot base and of an ablation trained without any train…

decido-ai/decido-26b-a4b on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T12:11:22.556Z

Inside the original model card — Document outline
  1. Decido 26B-A4B
  2. Results
  3. How it works
  4. Usage (stock llama.cpp, 30 GB RAM)
  5. Training data
  6. Limitations
  7. Files

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Model overview

decido-ai/decido-26b-a4b is a task-unspecified model repository published by decido-ai on Hugging Face. A library was not reported.

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Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-22T06:28:36.000Z
Last modified
2026-10-22T06:39:53.000Z

Compatibility and lineage

Reported languages: en

Reported base models: google/gemma-4-26B-A4B-it

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.

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