C4ai Command A 03 2025 — Hardware Requirements & GPU Compatibility
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C4ai Command A 03 2025 is a 111.1B-parameter open language model from Cohere in the Command family. At Q4_K_M it needs about 73.30 GB of VRAM — see which GPUs and Macs can run it below.
1.6K downloads
392 likesSpecifications
- Publisher
- Cohere
- Family
- Command
- Parameters
- 111.1B
- Release Date
- 2025-03-11
- License
- CC BY-NC 4.0
Get Started
HuggingFace
How Much VRAM Does C4ai Command A 03 2025 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 51.9 GB | — | 47.20 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 53.5 GB | — | 48.59 GB | 3-bit small quantization |
| Q3_K_Mest. | 3.90 | 59.5 GB | — | 54.14 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 73.3 GB | — | 66.63 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 87.0 GB | — | 79.13 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 100.8 GB | — | 91.62 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 122.2 GB | — | 111.06 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 244.3 GB | — | 222.12 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 C4ai Command A 03 2025?
Q4_K_M · 73.3 GBC4ai Command A 03 2025 (Q4_K_M) requires 73.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 96+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run C4ai Command A 03 2025?
Q4_K_M · 73.3 GB18 devices with unified memory can run C4ai Command A 03 2025, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download C4ai Command A 03 2025
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Frequently Asked Questions
- How much VRAM does C4ai Command A 03 2025 need?
C4ai Command A 03 2025 requires 73.3 GB of VRAM at Q4_K_M, or 244.3 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 111.1B × 4.8 bits ÷ 8 = 66.6 GB
KV Cache + Overhead ≈ 6.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M73.3 GB- Can NVIDIA GeForce RTX 5090 run C4ai Command A 03 2025?
No — C4ai Command A 03 2025 requires at least 51.9 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for C4ai Command A 03 2025?
For C4ai Command A 03 2025, Q4_K_M (73.3 GB) offers the best balance of quality and VRAM usage. Q5_K_M (87.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 51.9 GB.
VRAM requirement by quantization
Q2_K51.9 GBQ3_K_M59.5 GBQ4_K_M ★73.3 GBQ5_K_M87.0 GBQ6_K100.8 GBBF16244.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run C4ai Command A 03 2025 on a Mac?
C4ai Command A 03 2025 requires at least 51.9 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 C4ai Command A 03 2025 locally?
Yes — C4ai Command A 03 2025 can run locally on consumer hardware. At Q4_K_M quantization it needs 73.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is C4ai Command A 03 2025?
At Q4_K_M, C4ai Command A 03 2025 can reach ~60 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 ÷ 73.3 × 0.65 = ~71 tok/s
Estimated speed at Q4_K_M (73.3 GB)
~71 tok/s~71 tok/s~60 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of C4ai Command A 03 2025?
At Q4_K_M, the download is about 66.63 GB. The full-precision BF16 version is 222.12 GB. The smallest option (Q2_K) is 47.20 GB.
- Which GPUs can run C4ai Command A 03 2025?
No single consumer GPU has enough VRAM to run C4ai Command A 03 2025 at Q4_K_M (73.3 GB). Multi-GPU or professional hardware is required.
- Which devices can run C4ai Command A 03 2025?
19 devices with unified memory can run C4ai Command A 03 2025 at Q4_K_M (73.3 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.