Cogito v1 — Local AI Model by Deep Cogito

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

Deep Cogito's hybrid reasoning model family released March 2026. Unique 'think-or-not-think' architecture lets the model decide at inference time whether to use chain-of-thought reasoning based on query difficulty — saving compute on simple tasks while using deep reasoning for hard ones. Apache 2.0 licensed with sizes from 3B to 70B, all runnable on consumer hardware.

Hardware Requirements

Cogito v1 3B	Min 3 GB VRAM · Q4_K_M · 32,000 ctx · `ollama run cogito:3b`
Cogito v1 8B	Min 6 GB VRAM · Q4_K_M · 32,000 ctx · `ollama run cogito:8b`
Cogito v1 14B	Min 9 GB VRAM · Q4_K_M · 64,000 ctx · `ollama run cogito:14b`
Cogito v1 32B	Min 20 GB VRAM · Q4_K_M · 64,000 ctx · `ollama run cogito:32b`
Cogito v1 70B	Min 43 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run cogito:70b`

Recommended GPU

The cheapest GPU that runs Cogito v1 locally (min 3 GB VRAM) is the Intel Arc B570 (10 GB).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Intel Arc B570 10GB

Sugerowana cena premierowa: $219

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run cogito:3b

Minimum VRAM: 3 GB. For best results use Q4_K_M quantization.

Cogito v1 — Frequently Asked Questions

How much VRAM does Cogito v1 need?

Cogito v1 needs about 3 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Cogito v1 3B (3 GB, Q4_K_M); Cogito v1 8B (6 GB, Q4_K_M); Cogito v1 14B (9 GB, Q4_K_M); Cogito v1 32B (20 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Cogito v1 on an RTX 4090 (24 GB)?

Yes — Cogito v1 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 Cogito v1?

Q4_K_M is the best balance of quality and VRAM for Cogito v1 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 Cogito v1 with Ollama?

Install Ollama, then run: ollama run cogito:3b. This downloads Cogito v1 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.