Command R Family — Local AI Model by Cohere

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

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

Optimized specifically for RAG (Retrieval Augmented Generation) and tool use. Command R models excel at citing sources and reasoning over provided documents.

Hardware Requirements

Command R (35B)	Min 22 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run command-r`
Command R+ (104B)	Min 62 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run command-r-plus`

Recommended GPU

The cheapest GPU that runs Command R Family locally (min 22 GB VRAM) is the AMD Radeon RX 7900 XTX (24 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.

AMD Radeon RX 7900 XTX 24GB

Sugerowana cena premierowa: $999

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run command-r

Minimum VRAM: 22 GB. For best results use Q4_K_M quantization.

Command R Family — Frequently Asked Questions

How much VRAM does Command R Family need?

Command R Family needs about 22 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Command R (35B) (22 GB, Q4_K_M); Command R+ (104B) (62 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Command R Family on an RTX 4090 (24 GB)?

Yes — Command R Family 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 Command R Family?

Q4_K_M is the best balance of quality and VRAM for Command R Family 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 Command R Family with Ollama?

Install Ollama, then run: ollama run command-r. This downloads Command R Family and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.