Tiny Aya Global — Hardware Requirements & GPU Compatibility
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Tiny Aya Global is a 3.3B-parameter open language model from Cohere. At BF16 it needs about 7.37 GB of VRAM — see which GPUs and Macs can run it below.
22.5K downloads
157 likesSpecifications
- Publisher
- Cohere
- Parameters
- 3.3B
- Release Date
- 2026-05-01
- License
- CC BY-NC 4.0
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HuggingFace
How Much VRAM Does Tiny Aya Global Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 7.4 GB | — | 6.70 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Tiny Aya Global?
BF16 · 7.4 GBTiny Aya Global (BF16) requires 7.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 10+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Tiny Aya Global?
BF16 · 7.4 GB33 devices with unified memory can run Tiny Aya Global, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Tiny Aya Global need?
Tiny Aya Global requires 7.4 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 3.3B × 16 bits ÷ 8 = 6.7 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF167.4 GB- Can I run Tiny Aya Global on a Mac?
Tiny Aya Global requires at least 7.4 GB at BF16, 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 Tiny Aya Global locally?
Yes — Tiny Aya Global can run locally on consumer hardware. At BF16 quantization it needs 7.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Tiny Aya Global?
At BF16, Tiny Aya Global can reach ~396 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~89 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 7.4 × 0.55 = ~396 tok/s
Estimated speed at BF16 (7.4 GB)
~396 tok/s~89 tok/s~296 tok/s~245 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Tiny Aya Global?
At BF16, the download is about 6.70 GB.
- Which GPUs can run Tiny Aya Global?
35 consumer GPUs can run Tiny Aya Global at BF16 (7.4 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 7600. 26 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Tiny Aya Global?
33 devices with unified memory can run Tiny Aya Global at BF16 (7.4 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.