Command R Family — Local AI Model by Cohere

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

作者： Jakub Rusinowski · 最后更新： 2026年7月10日

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).

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AMD Radeon RX 7900 XTX 24GB

首发建议零售价：$999

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

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.