MiniMax M3 Uncensored — Hardware Requirements & GPU Compatibility
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MiniMax M3 Uncensored is a 427.0B-parameter open language model from ressl in the MiniMax family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 256.71 GB of VRAM — see which GPUs and Macs can run it below.
MiniMax M3 Uncensored runs on a 512 GB+ Mac or a datacenter GPU
Best local pick → Mac Studio (M3 Ultra, 512GB) · Q4_K_M · 258 GB · ~31 tok/s
Macs from 192 GB (Q2_K · ~37 tok/s)
Other
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run MiniMax M3 Uncensored
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
ollama run hf.co/spiritfather/MiniMax-M3-uncensored-GGUF:Q4_K_MQ4_K_M runs on one Instinct MI350X 288 GB · 16K context
Download: Q4_K_M/MiniMax-M3-uncensored-Q4_K_M-00001-of-00006.gguf264.26 GB + 5 partsspiritfather
Other ways
each opens step-by-stepRun in cloud
Fits on B300 (288 GB) (30 GB headroom) · Q4_K_M
- Generation speed
- ~179 tok/s
- generation speed
- Cost per 1M output tokens
- $10.78
- per 1M output tokens
How Much VRAM Does MiniMax M3 Uncensored Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 133.9 GB | 136.8 GB | 2-bit · i-quant small — Importance-weighted 2-bit, small | Runs on H200 NVL 141 GB | |
| 182.0 GB | 184.8 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Runs on B200 192 GB | |
| 182.0 GB | 184.8 GB | 3-bit · i-quant small — Importance-weighted 3-bit, small | Runs on B200 192 GB | |
| 208.7 GB | 211.5 GB | 3-bit medium — 3-bit medium quantization | Runs on Instinct MI325X 256 GB | |
| 230.0 GB | 232.9 GB | 4-bit · i-quant compact — Importance-weighted 4-bit, compact | Runs on Instinct MI325X 256 GB | |
| 256.7 GB | 259.5 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Runs on Instinct MI350X 288 GB | |
| 304.8 GB | 307.6 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Runs on 5× H100 SXM 80 GB | |
| 352.8 GB | 355.6 GB | 6-bit, very good — 6-bit quantization, very good quality | Runs on 5× H100 SXM 80 GB | |
| 427.5 GB | 430.4 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Runs on 6× H100 SXM 80 GB | |
| 854.6 GB | 857.4 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 7× H200 SXM 141 GB |
Selected Q4_K_M
4-bit medium quantization258.0GBat 16K context
- Weights
- 256.2 GB
- KV cache
- 1.5 GB
- Overhead
- 0.3 GB
Server-class: ~258 GB at 16K context · one Instinct MI350X 288 GB
Which Hardware Can Run MiniMax M3 Uncensored?
Q4_K_M · 256.7 GBMiniMax M3 Uncensored (Q4_K_M) requires 256.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 334+ GB is recommended. Using the full 1049K context window can add up to 96.5 GB, bringing total usage to 353.2 GB. No consumer GPU has enough memory. 1 device with unified memory can run MiniMax M3 Uncensored, including Mac Studio (M3 Ultra, 512GB).
192+ GB
Q4_K_M · best fit Q2_K (183.3 GB)
6 GPUs · 1 Mac class · 2 device families
B200~203Simulate output on B200B300~203Simulate output on B300Instinct MI350X~73Simulate output on Instinct MI350XM3 Ultra256–512 GB~37Simulate output on Mac Studio (M3 Ultra, 256GB)8x H100 SXM5~264Simulate output on NVIDIA DGX H1008x A100 SXM4~244Simulate output on NVIDIA DGX A100 640GB
By VRAM tier · typical GPUs and Macs at Q4_K_M
Consumer GPUs (up to 32 GB) and Macs up to 128 GB: too small for this model (needs ≥ 135.3 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Alternatives to MiniMax M3 Uncensored
MiniMax family · 9 models →Similar models
6| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Qwen3.5 397B A17BAlibaba | 113.0 | 242.6 GB | —needs > 24 GB | same size |
| Llama 4 Maverick 17B 128E InstructMeta | 87.1 | 272.7 GB | —needs > 24 GB | same size |
| Llama 3.1 405B InstructMeta | 83.2 | 275.6 GB | —needs > 24 GB | same size |
| Intern S2 397BInternLM | — | 242.6 GB | —needs > 24 GB | same size |
| Ornith 1.5 397Bornith-ai | — | 242.6 GB | —needs > 24 GB | same size |
| Trinity Large ThinkingArcee AI | — | 799.6 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- ressl
- Family
- MiniMax
- Parameters
- 427.0B
- Active parameters
- 19.8B per token
- Architecture
- MiniMaxM3SparseForConditionalGeneration
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 200,064
- Release Date
- 2026-07-09
- License
- Other
Frequently Asked Questions
How much VRAM does MiniMax M3 Uncensored need?
MiniMax M3 Uncensored requires 256.7 GB of VRAM at Q4_K_M, or 854.6 GB at BF16. Full 1049K context adds up to 96.5 GB (353.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 427.0B × 4.8 bits ÷ 8 = 256.2 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
KV Cache + Overhead ≈ 97 GB (at full 1049K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run MiniMax M3 Uncensored?
No — MiniMax M3 Uncensored requires at least 133.9 GB at IQ2_S, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
What's the best quantization for MiniMax M3 Uncensored?
For MiniMax M3 Uncensored, Q4_K_M (256.7 GB) offers the best balance of quality and VRAM usage. Q5_K_M (304.8 GB) provides better quality if you have the VRAM. The smallest option is IQ2_S at 133.9 GB.
VRAM requirement by quantization
★ Recommended — best balance of quality and VRAM usage.
Can I run MiniMax M3 Uncensored on a Mac?
Yes — Mac Pro M2 Ultra (192 GB) and 3 other Macs can run MiniMax M3 Uncensored, the smallest at Q2_K. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 256.7 GB of usable unified memory (RAM minus macOS overhead), from Mac Studio (M3 Ultra, 512GB).
Can I run MiniMax M3 Uncensored locally?
Yes — MiniMax M3 Uncensored can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
How fast is MiniMax M3 Uncensored?
At Q4_K_M, MiniMax M3 Uncensored can reach ~69 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = 1000 ÷ (active GB ÷ (bandwidth GB/s × efficiency) × 1000 + layers × routing ms)
Mixture-of-Experts: just the active experts get read for each token, along with a fixed routing cost per layer.
Example: NVIDIA B300 → 11.9 GB active ÷ (8000 × 0.65) = 2.29 ms, plus 60 layers × 0.055 ms = 3.30 ms, so 1000 ÷ 5.59 ms = ~179 tok/s
Estimated speed at Q4_K_M (256.7 GB)
Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
What's the download size of MiniMax M3 Uncensored?
At Q4_K_M, the download is about 256.22 GB. The full-precision BF16 version is 854.08 GB. The smallest option (IQ2_S) is 133.45 GB.
Which GPUs can run MiniMax M3 Uncensored?
No single consumer GPU has enough VRAM to run MiniMax M3 Uncensored at Q4_K_M (256.7 GB). Multi-GPU or professional hardware is required.
Which devices can run MiniMax M3 Uncensored?
1 device with unified memory can run MiniMax M3 Uncensored at Q4_K_M (256.7 GB), including Mac Studio (M3 Ultra, 512GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.