QuixiAI·Vicuna·LlamaForCausalLM

Wizard Vicuna 30B Uncensored — Hardware Requirements & GPU Compatibility

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Wizard Vicuna 30B Uncensored is a 30B-parameter open language model from QuixiAI in the Vicuna family. It supports a context window of up to 2,048 tokens. At BF16 it needs about 66.00 GB of VRAM — see which GPUs and Macs can run it below.

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Specifications

Publisher
QuixiAI
Family
Vicuna
Parameters
30B
Architecture
LlamaForCausalLM
Context Length
2,048 tokens
Vocabulary Size
32,000
Release Date
2024-05-20
License
Other

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How Much VRAM Does Wizard Vicuna 30B Uncensored Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
BF1616.0066 GB

Which GPUs Can Run Wizard Vicuna 30B Uncensored?

BF16 · 66 GB

Wizard Vicuna 30B Uncensored (BF16) requires 66 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 86+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run Wizard Vicuna 30B Uncensored?

BF16 · 66 GB

5 devices with unified memory can run Wizard Vicuna 30B Uncensored, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.

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Frequently Asked Questions

How much VRAM does Wizard Vicuna 30B Uncensored need?

Wizard Vicuna 30B Uncensored requires 66 GB of VRAM at BF16.

VRAM = Weights + KV Cache + Overhead

Weights = 30B × 16 bits ÷ 8 = 60 GB

KV Cache + Overhead 6 GB (at 2K context + ~0.3 GB framework)

VRAM usage by quantization

66.0 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run Wizard Vicuna 30B Uncensored?

No — Wizard Vicuna 30B Uncensored requires at least 66 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

Can I run Wizard Vicuna 30B Uncensored on a Mac?

Wizard Vicuna 30B Uncensored requires at least 66 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 Wizard Vicuna 30B Uncensored locally?

Yes — Wizard Vicuna 30B Uncensored can run locally on consumer hardware. At BF16 quantization it needs 66 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Wizard Vicuna 30B Uncensored?

At BF16, Wizard Vicuna 30B Uncensored can reach ~44 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 MI300X5300 ÷ 66.0 × 0.55 = ~44 tok/s

Estimated speed at BF16 (66 GB)

~44 tok/s
~33 tok/s
~27 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Wizard Vicuna 30B Uncensored?

At BF16, the download is about 60.00 GB.

Which GPUs can run Wizard Vicuna 30B Uncensored?

No single consumer GPU has enough VRAM to run Wizard Vicuna 30B Uncensored at BF16 (66 GB). Multi-GPU or professional hardware is required.

Which devices can run Wizard Vicuna 30B Uncensored?

5 devices with unified memory can run Wizard Vicuna 30B Uncensored at BF16 (66 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.