Covenant 72B — Hardware Requirements & GPU Compatibility
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Covenant 72B is a 72.7B-parameter open language model from 1Covenant. It supports a context window of up to 2,048 tokens. At Q4_K_M it needs about 44.62 GB of VRAM — see which GPUs and Macs can run it below.
303 downloads
30 likesSpecifications
- Publisher
- 1Covenant
- Parameters
- 72.7B
- Architecture
- LlamaForCausalLM
- Context Length
- 2,048 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2025-10-01
- 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 |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 31.9 GB | — | 30.92 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 36.4 GB | — | 35.46 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 44.6 GB | — | 43.65 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 52.8 GB | — | 51.83 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 61.0 GB | — | 60.02 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 73.7 GB | — | 72.75 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 146.5 GB | — | 145.49 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 Covenant 72B?
Q4_K_M · 44.6 GBCovenant 72B (Q4_K_M) requires 44.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 59+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Covenant 72B?
Q4_K_M · 44.6 GB26 devices with unified memory can run Covenant 72B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does Covenant 72B need?
Covenant 72B requires 44.6 GB of VRAM at Q4_K_M, or 146.5 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 72.7B × 4.8 bits ÷ 8 = 43.6 GB
KV Cache + Overhead ≈ 1 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M44.6 GB- Can NVIDIA GeForce RTX 5090 run Covenant 72B?
Yes, at Q2_K (31.9 GB) or lower. Higher quantizations like Q3_K_M (36.4 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for Covenant 72B?
For Covenant 72B, Q4_K_M (44.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (52.8 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 31.9 GB.
VRAM requirement by quantization
Q2_K31.9 GBQ4_K_M ★44.6 GBQ5_K_M52.8 GBQ6_K61.0 GBQ8_073.7 GBBF16146.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Covenant 72B on a Mac?
Covenant 72B requires at least 31.9 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 Covenant 72B locally?
Yes — Covenant 72B can run locally on consumer hardware. At Q4_K_M quantization it needs 44.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Covenant 72B?
At Q4_K_M, Covenant 72B can reach ~99 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 ÷ 44.6 × 0.65 = ~117 tok/s
Estimated speed at Q4_K_M (44.6 GB)
~117 tok/s~117 tok/s~99 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 Q4_K_M, the download is about 43.65 GB. The full-precision BF16 version is 145.49 GB. The smallest option (Q2_K) is 30.92 GB.
- Which GPUs can run Covenant 72B?
No single consumer GPU has enough VRAM to run Covenant 72B at Q4_K_M (44.6 GB). Multi-GPU or professional hardware is required.
- Which devices can run Covenant 72B?
27 devices with unified memory can run Covenant 72B at Q4_K_M (44.6 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.