Moderato V1 Pro — Hardware Requirements & GPU Compatibility
ChatCodeReasoning
Moderato V1 Pro is a 113.3B-parameter open language model from nitrai-research. It supports a context window of up to 262,144 tokens. At BF16 it needs about 227.44 GB of VRAM — see which GPUs and Macs can run it below.
2.1K downloads
5 likesSpecifications
- Publisher
- nitrai-research
- Parameters
- 113.3B
- Architecture
- ModeratoRRRMoeForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-08-25
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Moderato V1 Pro Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 227.4 GB | 284.3 GB | 226.70 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 Moderato V1 Pro?
BF16 · 227.4 GBModerato V1 Pro (BF16) requires 227.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 296+ GB is recommended. Using the full 262K context window can add up to 56.8 GB, bringing total usage to 284.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Moderato V1 Pro?
BF16 · 227.4 GB3 devices with unified memory can run Moderato V1 Pro, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomFrequently Asked Questions
- How much VRAM does Moderato V1 Pro need?
Moderato V1 Pro requires 227.4 GB of VRAM at BF16. Full 262K context adds up to 56.8 GB (284.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 113.3B × 16 bits ÷ 8 = 226.7 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 57.6 GB (at full 262K context)
VRAM usage by quantization
BF16227.4 GBBF16 + full context284.3 GB- Can NVIDIA GeForce RTX 5090 run Moderato V1 Pro?
No — Moderato V1 Pro requires at least 227.4 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Moderato V1 Pro on a Mac?
Moderato V1 Pro requires at least 227.4 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 Moderato V1 Pro locally?
Yes — Moderato V1 Pro can run locally on consumer hardware. At BF16 quantization it needs 227.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Moderato V1 Pro?
At BF16, Moderato V1 Pro can reach ~21 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 B300 → 8000 ÷ 227.4 × 0.65 = ~23 tok/s
Estimated speed at BF16 (227.4 GB)
~23 tok/s~21 tok/s~21 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Moderato V1 Pro?
At BF16, the download is about 226.70 GB.
- Which GPUs can run Moderato V1 Pro?
No single consumer GPU has enough VRAM to run Moderato V1 Pro at BF16 (227.4 GB). Multi-GPU or professional hardware is required.
- Which devices can run Moderato V1 Pro?
4 devices with unified memory can run Moderato V1 Pro at BF16 (227.4 GB), including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), 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.