Command R (35B) — VRAM, Speed & Local Setup

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

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 marca 2024

Model library → Command R Family → Command R (35B)

The RAG specialist. Designed to work with your data. Excellent at following complex instructions and tool use.

Command R (35B) needs about 22 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

Specifications

Parameters	35 Billion
Context window	128,000
Architecture	Dense
Provider	Cohere
Licence	CC-BY-NC
Specified at	Q4_K_M
System RAM	32 GB
Record updated	2024-03-11

Licence

CC-BY-NC-4.0 — research / non-commercial only. Research / non-commercial only — this licence does NOT permit shipping a commercial product.

VRAM and Speed by Quantization

Modelled on a reference NVIDIA RTX 4090 (24 GB), at 8K context. Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.

Quant	Weights	VRAM needed	Est. speed	Fit on 24 GB
Q2_K	11.5 GB	23.0 GB	~41 tok/s (est.)	Tight fit
Q3_K_M	14.9 GB	26.5 GB	~5 tok/s (est.)	Offloads to system RAM (slow)
Q4_K_M	21.1 GB	32.7 GB	~4 tok/s (est.)	Offloads to system RAM (slow)
Q5_K_M	24.8 GB	36.3 GB	~4 tok/s (est.)	Offloads to system RAM (slow)
Q6_K	28.7 GB	40.2 GB	~3 tok/s (est.)	Offloads to system RAM (slow)
Q8_0	37.2 GB	48.7 GB	~3 tok/s (est.)	Offloads to system RAM (slow)
F16	70.0 GB	81.5 GB	—	Won't fit

Want the memory numbers alone, at every quantization level and your own context length? Use the Command R (35B) VRAM calculator.

Buy This HardwareAMD Radeon RX 7900 XTX 24GB — 24 GB VRAM · 355 W board power Deploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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Recommended GPU

The cheapest catalogued GPU that runs Command R (35B) is the AMD Radeon RX 7900 XTX (24 GB).

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AMD Radeon RX 7900 XTX 24GB

24 GB VRAM · 355 W board power

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Command R (35B)

Install Ollama, then run:

ollama run command-r

Weights on Hugging Face: CohereForAI/c4ai-command-r-v01.

Best for: rag, agent, work.

Can I Run Command R (35B) on My GPU?

Other Command R Family Sizes

Command R+ (104B) — about 64 GB VRAM at Q4_K_M

Command R (35B) — Frequently Asked Questions

How much VRAM does Command R (35B) need?

About 22 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Command R (35B) run on an RTX 4090 (24 GB)?

Yes. Command R (35B) needs about 22 GB at Q4_K_M, inside a 24 GB card, at an estimated 4 tokens/sec.

How do I run Command R (35B) locally?

Install Ollama and run `ollama run command-r`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

What other sizes does Command R Family come in?

Command R (35B) (22 GB), Command R+ (104B) (64 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.

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