Can Command R+ 104B run on NVIDIA B200 180GB?

YES — Runs Great

B69Good

Estimated from fit model

Command R+ 104B needs ~85.8 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~106 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 85.8 GB, 115.2 tok/s, Runs well

85.8 GB required180.0 GB available

48% VRAM used

Fit status

Runs well

Decode

115.2 tok/s

TTFT

1681 ms

Safe context

131K

Memory

85.8 GB / 180.0 GB

Memory breakdown

Weights63.4 GB

KV Cache3.4 GB

Runtime0.9 GB

Headroom18.0 GB

See how fast it feels

See how fast it feelsCommand R+ 104B on NVIDIA B200 180GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 115.2 tok/s decode · 1.7s TTFT (warm) · 288 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	115.2 tok/s	917 ms	131K
Coding	B	Runs well	105.9 tok/s	1828 ms	131K
Agentic Coding	B	Runs well	105.9 tok/s	2658 ms	131K
Reasoning	B	Runs well	115.2 tok/s	1986 ms	131K
RAG	B	Runs well	115.2 tok/s	3056 ms	131K

Quantization options

How Command R+ 104B (104B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	40.6 GB	Low	B58
Q3_K_S	3	51.0 GB	Low	B59
NVFP4	4	58.2 GB	Medium	B60
Q4_K_M	4	63.4 GB	Medium	B61
Q5_K_M	5	74.9 GB	High	B62
Q6_K	6	85.3 GB	High	B63
Q8_0Best for your GPU	8	111.3 GB	Very High	B65
F16	16	213.2 GB	Maximum	F0

Get started

Copy-paste commands to run Command R+ 104B on your machine.

Run

ollama run command-r-plus

Frequently asked questions

Can NVIDIA B200 180GB run Command R+ 104B?

Yes, NVIDIA B200 180GB can run Command R+ 104B with a B grade (Runs well). Expected decode speed: 105.9 tok/s.

How much VRAM does Command R+ 104B need?

Command R+ 104B (104B parameters) requires approximately 85.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Command R+ 104B?

The recommended quantization for Command R+ 104B is Q4_K_M, which balances quality and memory efficiency.

What speed will Command R+ 104B run at on NVIDIA B200 180GB?

On NVIDIA B200 180GB, Command R+ 104B achieves approximately 105.9 tokens per second decode speed with a time-to-first-token of 1828ms using Q4_K_M quantization.

Can NVIDIA B200 180GB run Command R+ 104B for coding?

For coding workloads, Command R+ 104B on NVIDIA B200 180GB receives a B grade with 105.9 tok/s and 131K context.

What context window can Command R+ 104B use on NVIDIA B200 180GB?

On NVIDIA B200 180GB, Command R+ 104B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA B200 180GB See all hardware for Command R+ 104B

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