C4ai Command R Plus — Hardware Requirements & GPU Compatibility
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C4ai Command R Plus is a 103.8B-parameter open language model from Cohere in the Command R family. At BF16 it needs about 228.38 GB of VRAM — see which GPUs and Macs can run it below.
4.9K downloads
1.8K likesSpecifications
- Publisher
- Cohere
- Family
- Command R
- Parameters
- 103.8B
- Release Date
- 2025-04-16
- License
- CC BY-NC 4.0
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HuggingFace
How Much VRAM Does C4ai Command R Plus Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 228.4 GB | — | 207.62 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run C4ai Command R Plus?
BF16 · 228.4 GBC4ai Command R Plus (BF16) requires 228.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 297+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run C4ai Command R Plus?
BF16 · 228.4 GB2 devices with unified memory can run C4ai Command R Plus, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does C4ai Command R Plus need?
C4ai Command R Plus requires 228.4 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 103.8B × 16 bits ÷ 8 = 207.6 GB
KV Cache + Overhead ≈ 20.8 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF16228.4 GB- Can NVIDIA GeForce RTX 5090 run C4ai Command R Plus?
No — C4ai Command R Plus requires at least 228.4 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run C4ai Command R Plus on a Mac?
C4ai Command R Plus requires at least 228.4 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run C4ai Command R Plus locally?
Yes — C4ai Command R Plus can run locally on consumer hardware. At BF16 quantization it needs 228.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of C4ai Command R Plus?
At BF16, the download is about 207.62 GB.
- Which GPUs can run C4ai Command R Plus?
No single consumer GPU has enough VRAM to run C4ai Command R Plus at BF16 (228.4 GB). Multi-GPU or professional hardware is required.
- Which devices can run C4ai Command R Plus?
2 devices with unified memory can run C4ai Command R Plus at BF16 (228.4 GB), including NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.