Covenant 72B — Hardware Requirements & GPU Compatibility
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303 downloads
30 likesSpecifications
- Publisher
- 1Covenant
- Parameters
- 72.7B
- Architecture
- LlamaForCausalLM
- Context Length
- 2,048 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2026-03-10
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Covenant 72B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 146.5 GB | — | 145.49 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Covenant 72B?
BF16 · 146.5 GBCovenant 72B (BF16) requires 146.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 191+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Covenant 72B?
BF16 · 146.5 GB4 devices with unified memory can run Covenant 72B, 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 Covenant 72B need?
Covenant 72B requires 146.5 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 72.7B × 16 bits ÷ 8 = 145.5 GB
KV Cache + Overhead ≈ 1 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF16146.5 GB- Can NVIDIA GeForce RTX 5090 run Covenant 72B?
No — Covenant 72B requires at least 146.5 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Covenant 72B on a Mac?
Covenant 72B requires at least 146.5 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 Covenant 72B locally?
Yes — Covenant 72B can run locally on consumer hardware. At BF16 quantization it needs 146.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Covenant 72B?
At BF16, Covenant 72B can reach ~20 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 ÷ 146.5 × 0.55 = ~20 tok/s
Estimated speed at BF16 (146.5 GB)
AMD Instinct MI300X~20 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Covenant 72B?
At BF16, the download is about 145.49 GB.
- Which GPUs can run Covenant 72B?
No single consumer GPU has enough VRAM to run Covenant 72B at BF16 (146.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run Covenant 72B?
4 devices with unified memory can run Covenant 72B at BF16 (146.5 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.