Command A Plus 05 2026 BF16 — Hardware Requirements & GPU Compatibility
VisionChatCommand A Plus 05 2026 BF16 is a 218.8B-parameter open language model from Cohere in the Command family. It supports a context window of up to 200,000 tokens. At Q4_K_M it needs about 131.62 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- Cohere
- Family
- Command
- Parameters
- 218.8B
- Architecture
- Cohere2VisionForConditionalGeneration
- Context Length
- 200,000 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2026-05-11
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Command A Plus 05 2026 BF16 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 93.3 GB | 99.8 GB | 92.97 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 107.0 GB | 113.5 GB | 106.64 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 131.6 GB | 138.1 GB | 131.25 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 156.2 GB | 162.7 GB | 155.86 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 180.8 GB | 187.3 GB | 180.47 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 219.1 GB | 225.6 GB | 218.75 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 437.9 GB | 444.4 GB | 437.50 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Command A Plus 05 2026 BF16?
Q4_K_M · 131.6 GBCommand A Plus 05 2026 BF16 (Q4_K_M) requires 131.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 172+ GB is recommended. Using the full 200K context window can add up to 6.5 GB, bringing total usage to 138.1 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Command A Plus 05 2026 BF16?
Q4_K_M · 131.6 GB6 devices with unified memory can run Command A Plus 05 2026 BF16, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 256GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightFrequently Asked Questions
- How much VRAM does Command A Plus 05 2026 BF16 need?
Command A Plus 05 2026 BF16 requires 131.6 GB of VRAM at Q4_K_M, or 437.9 GB at BF16. Full 200K context adds up to 6.5 GB (138.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 218.8B × 4.8 bits ÷ 8 = 131.3 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 6.8 GB (at full 200K context)
VRAM usage by quantization
Q4_K_M131.6 GBQ4_K_M + full context138.1 GB- Can NVIDIA GeForce RTX 5090 run Command A Plus 05 2026 BF16?
No — Command A Plus 05 2026 BF16 requires at least 93.3 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Command A Plus 05 2026 BF16?
For Command A Plus 05 2026 BF16, Q4_K_M (131.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (156.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 93.3 GB.
VRAM requirement by quantization
Q2_K93.3 GBQ4_K_M ★131.6 GBQ5_K_M156.2 GBQ6_K180.8 GBQ8_0219.1 GBBF16437.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Command A Plus 05 2026 BF16 on a Mac?
Command A Plus 05 2026 BF16 requires at least 93.3 GB at Q2_K, 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 Command A Plus 05 2026 BF16 locally?
Yes — Command A Plus 05 2026 BF16 can run locally on consumer hardware. At Q4_K_M quantization it needs 131.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Command A Plus 05 2026 BF16?
At Q4_K_M, Command A Plus 05 2026 BF16 can reach ~33 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 131.6 × 0.65 = ~40 tok/s
Estimated speed at Q4_K_M (131.6 GB)
~40 tok/s~40 tok/s~33 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Command A Plus 05 2026 BF16?
At Q4_K_M, the download is about 131.25 GB. The full-precision BF16 version is 437.50 GB. The smallest option (Q2_K) is 92.97 GB.
- Which GPUs can run Command A Plus 05 2026 BF16?
No single consumer GPU has enough VRAM to run Command A Plus 05 2026 BF16 at Q4_K_M (131.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run Command A Plus 05 2026 BF16?
6 devices with unified memory can run Command A Plus 05 2026 BF16 at Q4_K_M (131.6 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.