Darwin 60B DUO — Hardware Requirements & GPU Compatibility
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Darwin 60B DUO is a 60B-parameter open language model from FINAL-Bench. At BF16 it needs about 132.00 GB of VRAM — see which GPUs and Macs can run it below.
669 downloads
32 likesSpecifications
- Publisher
- FINAL-Bench
- Parameters
- 60B
- Architecture
- DarwinDuoOrchestrator
- Release Date
- 2026-06-03
- License
- Gemma Terms
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HuggingFace
How Much VRAM Does Darwin 60B DUO Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 132 GB | — | 120.00 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Darwin 60B DUO?
BF16 · 132 GBDarwin 60B DUO (BF16) requires 132 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 172+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Darwin 60B DUO?
BF16 · 132 GB4 devices with unified memory can run Darwin 60B DUO, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Pro M2 Ultra (192 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Darwin 60B DUO need?
Darwin 60B DUO requires 132 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 60B × 16 bits ÷ 8 = 120 GB
KV Cache + Overhead ≈ 12 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF16132.0 GB- Can NVIDIA GeForce RTX 5090 run Darwin 60B DUO?
No — Darwin 60B DUO requires at least 132 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Darwin 60B DUO on a Mac?
Darwin 60B DUO requires at least 132 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 Darwin 60B DUO locally?
Yes — Darwin 60B DUO can run locally on consumer hardware. At BF16 quantization it needs 132 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Darwin 60B DUO?
At BF16, Darwin 60B DUO can reach ~22 tok/s on AMD Instinct MI300X. 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 ÷ 132.0 × 0.55 = ~22 tok/s
Estimated speed at BF16 (132 GB)
~22 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Darwin 60B DUO?
At BF16, the download is about 120.00 GB.
- Which GPUs can run Darwin 60B DUO?
No single consumer GPU has enough VRAM to run Darwin 60B DUO at BF16 (132 GB). Multi-GPU or professional hardware is required.
- Which devices can run Darwin 60B DUO?
4 devices with unified memory can run Darwin 60B DUO at BF16 (132 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.