WizardLM 7B Uncensored — Hardware Requirements & GPU Compatibility
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WizardLM 7B Uncensored is a 7B-parameter open language model from QuixiAI. It supports a context window of up to 2,048 tokens. At FP16 it needs about 15.40 GB of VRAM — see which GPUs and Macs can run it below.
1.3K downloads
501 likesSpecifications
- Publisher
- QuixiAI
- Parameters
- 7B
- Architecture
- LlamaForCausalLM
- Context Length
- 2,048 tokens
- Vocabulary Size
- 32,001
- Release Date
- 2024-01-30
- License
- Other
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HuggingFace
How Much VRAM Does WizardLM 7B Uncensored Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| FP16 | 16.00 | 15.4 GB | — | 14.00 GB | Full half-precision — baseline for inference |
Which GPUs Can Run WizardLM 7B Uncensored?
FP16 · 15.4 GBWizardLM 7B Uncensored (FP16) requires 15.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 21+ GB is recommended. 17 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 5080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run WizardLM 7B Uncensored?
FP16 · 15.4 GB27 devices with unified memory can run WizardLM 7B Uncensored, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 (16 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does WizardLM 7B Uncensored need?
WizardLM 7B Uncensored requires 15.4 GB of VRAM at FP16.
VRAM = Weights + KV Cache + Overhead
Weights = 7B × 16 bits ÷ 8 = 14 GB
KV Cache + Overhead ≈ 1.4 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
FP1615.4 GB- Can I run WizardLM 7B Uncensored on a Mac?
WizardLM 7B Uncensored requires at least 15.4 GB at FP16, 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 WizardLM 7B Uncensored locally?
Yes — WizardLM 7B Uncensored can run locally on consumer hardware. At FP16 quantization it needs 15.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is WizardLM 7B Uncensored?
At FP16, WizardLM 7B Uncensored can reach ~189 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~43 tok/s. 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 ÷ 15.4 × 0.55 = ~189 tok/s
Estimated speed at FP16 (15.4 GB)
~189 tok/s~43 tok/s~142 tok/s~117 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of WizardLM 7B Uncensored?
At FP16, the download is about 14.00 GB.
- Which GPUs can run WizardLM 7B Uncensored?
17 consumer GPUs can run WizardLM 7B Uncensored at FP16 (15.4 GB). Top options include AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 Ti, AMD Radeon RX 6800. 5 GPUs have plenty of headroom for comfortable inference.
- Which devices can run WizardLM 7B Uncensored?
27 devices with unified memory can run WizardLM 7B Uncensored at FP16 (15.4 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.