Can I Run Cogito v1 on 8 GB system RAM?

Written by Jakub Rusinowski · Last updated March 20, 2026

Yes

Yes — Cogito v1 3B at Q8_0 needs about 4.9 GB of the 6.4 GB usable on 8 GB system RAM (~1.5 GB spare), at ~17.6 tok/s (estimated), with room for about 16,384 tokens of context.

Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~17.6 tok/s

8 GB system RAM — what it gives a model

Usable memory for models6.4 GB
Memory bandwidth90 GB/s

Cogito v1 on 8 GB system RAM: memory by quantization

QuantMemory neededFits 6.4 GB?Max contextEst. speedDownload
F167.7 GB✗ No6 GB
Q8_04.9 GB✓ Yes16K~17.6 tok/s3.2 GB
Q6_K4.2 GB✓ Yes16K~21.8 tok/s2.5 GB
Q5_K_M3.9 GB✓ Yes16K~24.5 tok/s2.1 GB
Q4_K_M3.6 GB✓ Yes32K~27.6 tok/s1.8 GB
Q3_K_M3 GB✓ Yes32K~35.4 tok/s1.3 GB
Q2_K2.7 GB✓ Yes32K~41.8 tok/s1 GB

Which Cogito v1 sizes fit

VariantNeeds at Q4_K_MFits?Est. speed
Cogito v1 70B45.7 GB✗ Too large
Cogito v1 32B22.3 GB✗ Too large
Cogito v1 14B10.9 GB✗ Too large
Cogito v1 8B6.7 GB✗ Too large
Cogito v1 3B3.6 GB✓ Fits~27.6 tok/s

What to watch out for

Recommended setup

llama.cpp (CPU build) or Ollama — both run without a GPU

How these numbers are calculated

FAQ

Can I run Cogito v1 on 8 GB system RAM?

Yes — Cogito v1 3B at Q8_0 needs about 4.9 GB of the 6.4 GB usable on 8 GB system RAM (~1.5 GB spare), at ~17.6 tok/s (estimated), with room for about 16,384 tokens of context.

Which quantization of Cogito v1 should I use on 8 GB system RAM?

Q8_0 — it needs about 4.9 GB of the 6.4 GB available, downloads as roughly 3.2 GB, and runs at an estimated 17.6 tokens/sec with up to 16K of context.

What limits Cogito v1 on 8 GB system RAM?

Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.

Which runtime should I use?

llama.cpp (CPU build) or Ollama — both run without a GPU

Other RAM Capacities

Other Models on 8 GB system RAM

Cogito v1 on GPUs

What This Model Is Good At

Model & Tools

← Can I Run It? | Cogito v1 model page | Check your hardware