MiniMax VL 01 — Hardware Requirements & GPU Compatibility
Vision
MiniMax-VL-01 is MiniMax's vision-language model with roughly 456 billion total and 49 billion active parameters. It follows a ViT-MLP-LLM design that pairs a 303-million-parameter Vision Transformer and a two-layer MLP projector with the MiniMax-Text-01 language model as its base. Images are handled at dynamic resolutions from 336x336 to 2016x2016 with a thumbnail, and the card lists function calling support. The card reports training on 512 billion tokens across four stages. Local use is impractical for most setups, since it needs a multi-GPU server or a very large unified-memory machine even when quantized. The model is released under the MiniMax Model Agreement, a custom license, with the code under MIT, so the model terms should be read before commercial use. It was published in January 2025 and uses MiniMax-Text-01 as its language backbone.
35.4K downloads
286 likesSpecifications
- Publisher
- MiniMax
- Family
- MiniMax
- Parameters
- 456.4B
- Architecture
- MiniMaxVL01ForConditionalGeneration
- Context Length
- 8,192 tokens
- Vocabulary Size
- 200,064
- Release Date
- 2025-01-12
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HuggingFace
How Much VRAM Does MiniMax VL 01 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 913.7 GB | 915.2 GB | 912.87 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 MiniMax VL 01?
BF16 · 913.7 GBMiniMax VL 01 (BF16) requires 913.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1188+ GB is recommended. Using the full 8K context window can add up to 1.5 GB, bringing total usage to 915.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Related Models
Frequently Asked Questions
- How much VRAM does MiniMax VL 01 need?
MiniMax VL 01 requires 913.7 GB of VRAM at BF16. Full 8K context adds up to 1.5 GB (915.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 456.4B × 16 bits ÷ 8 = 912.9 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 2.3 GB (at full 8K context)
VRAM usage by quantization
BF16913.7 GBBF16 + full context915.2 GB- Can NVIDIA GeForce RTX 5090 run MiniMax VL 01?
No — MiniMax VL 01 requires at least 913.7 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run MiniMax VL 01 on a Mac?
MiniMax VL 01 requires at least 913.7 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 MiniMax VL 01 locally?
Yes — MiniMax VL 01 can run locally on consumer hardware. At BF16 quantization it needs 913.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of MiniMax VL 01?
At BF16, the download is about 912.87 GB.
- Which GPUs can run MiniMax VL 01?
No single consumer GPU has enough VRAM to run MiniMax VL 01 at BF16 (913.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run MiniMax VL 01?
MiniMax VL 01 requires at least 913.7 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.