Decider — local AI model by Mapika

Written by Jakub Rusinowski · Last updated

A family of open decision models on Qwen3.5 bases (0.8B to 35B-A3B) with one interface, up to 255 options per question and a TypeSafe-compatible server.

Variants

The smallest Decider variant needs about 1 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
Decider 0.8B
0.8B
~1.3 GB
Decider 2B →
2B
~2.2 GB
Decider 4B →
4B
~3.6 GB
Decider 35B-A3B (NVFP4) →
35B (3B active)
~22.5 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run Decider locally

Install Ollama, then pull the tag.

Served by decider.serve. This model does not run in Ollama.

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

Apache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Applies to: Decider 0.8B, Decider 2B, Decider 4B, Decider 35B-A3B (NVFP4)

Recommended GPU

The cheapest catalogued GPU that runs Decider locally (min 1 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
10 GB VRAM · 150 W board power
2026 prices are volatile — check the current listing.

Decider — frequently asked questions

How much VRAM does Decider need?

Decider needs about 1 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Decider 0.8B (1 GB, Q4_K_M); Decider 2B (2 GB, Q4_K_M); Decider 4B (4 GB, Q4_K_M); Decider 35B-A3B (NVFP4) (23 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Decider on an RTX 4090 (24 GB)?

Yes — Decider runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Decider?

Q4_K_M is the best balance of quality and VRAM for Decider in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Decider locally?

Decider is a decision model: it is called over an HTTP endpoint (/v1/systemone), not chatted with. Where a variant is available in Ollama 0.35 or newer, pull it with `ollama pull` and send requests to the local server; the others ship their own server. Each variant page shows the exact commands for that model.