Command A+

CohereLabs/command-a-plus-05-2026-bf16

Parameters

218B

Context

200K

Downloads

86.7K

Likes

141

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
517.2 GB
RAM 775.9 · Disk 672.5
542.8 GB
RAM 814.1 · Disk 698.5
582.0 GB
RAM 872.9 · Disk 737.5
FP88bit
260.4 GB
RAM 390.6 · Disk 355.7
274.3 GB
RAM 411.4 · Disk 381.7
301.8 GB
RAM 452.7 · Disk 420.7
INT88bit
260.4 GB
RAM 390.6 · Disk 355.7
274.3 GB
RAM 411.4 · Disk 381.7
301.8 GB
RAM 452.7 · Disk 420.7
AWQ4bit
136.8 GB
RAM 205.2 · Disk 203.3
145.0 GB
RAM 217.6 · Disk 229.3
166.9 GB
RAM 250.4 · Disk 268.3
GPTQ4bit
138.4 GB
RAM 207.6 · Disk 205.3
146.7 GB
RAM 220.1 · Disk 231.3
168.7 GB
RAM 253.0 · Disk 270.3
GGUF4bit
141.6 GB
RAM 212.4 · Disk 209.2
150.1 GB
RAM 225.1 · Disk 235.2
172.2 GB
RAM 258.3 · Disk 274.2

GPU Recommendations

Best ValueBEST

1× B200

180 GB VRAM

$3,013/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.6124

Deploy on vast ↗
Cheapest

8× RTX 3090

192 GB VRAM

$636/mo

≈ 28.4 tok/s

Effective production throughput ≈ 19.9 tok/s

score 0.5667

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 145.8 tok/s

Effective production throughput ≈ 102.1 tok/s

score 0.2197

Min Complexity

2× A100 80GB

160 GB VRAM

$1,752/mo

≈ 31 tok/s

Effective production throughput ≈ 21.7 tok/s

score 0.5926

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

B200

180 GB VRAM

$3,013

/mo · vast

B200 SXM

180 GB VRAM

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