Question 1

How much VRAM does c4ai-command-r-plus need?

Accepted Answer

c4ai-command-r-plus (103.8B) requires approximately 232.0349395751953 GB of VRAM at full precision (FP16), 116 GB at 8-bit quantization (Q8), and 58 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run c4ai-command-r-plus?

Accepted Answer

We have 2 compatible GPUs indexed for c4ai-command-r-plus, including MI325X, MI350X. Compatibility is determined by whether the GPU's VRAM can fit the model's memory footprint, potentially using quantization to reduce memory usage.

Question 3

What is the cheapest GPU to run c4ai-command-r-plus?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with c4ai-command-r-plus. Cloud pricing data is updated regularly — check back soon.

Question 4

Can c4ai-command-r-plus run on consumer hardware?

Accepted Answer

c4ai-command-r-plus requires approximately 232.0349395751953 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 58.0 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so c4ai-command-r-plus requires datacenter or cloud GPUs.

Question 5

What quantization options are available for c4ai-command-r-plus?

Accepted Answer

c4ai-command-r-plus supports the following quantization levels: FP16 (full precision): ~232.0349395751953 GB, Q8 (8-bit): ~116 GB, Q6 (6-bit): ~87 GB, Q4 (4-bit): ~58 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression.

c4ai-command-r-plus

VRAM Requirements

Compatible GPUs

c4ai-command-r-plus FAQ

VRAM requirements for c4ai-command-r-plus at different quantization levels
Quantization	VRAM Required
FP16	232 GB
Q8	116 GB
Q6	87 GB
Q4	58 GB

Top 10 compatible GPUs for c4ai-command-r-plus, sorted by cheapest price
GPU	VRAM	Best Quant	From	Rent
MI325X	256 GB	Q8	—
MI350X	288 GB	FP16	—