MiniMax M2.7 BF16 — Hardware Requirements & GPU Compatibility
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MiniMax M2.7 BF16 is a 228.7B-parameter open language model from amd in the MiniMax family. It supports a context window of up to 204,800 tokens. At Q4_K_M it needs about 137.77 GB of VRAM — see which GPUs and Macs can run it below.
212 downloadsSpecifications
- Publisher
- amd
- Family
- MiniMax
- Parameters
- 228.7B
- Architecture
- MiniMaxM2ForCausalLM
- Context Length
- 204,800 tokens
- Vocabulary Size
- 200,064
- Release Date
- 2026-04-23
- License
- Other
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HuggingFace
How Much VRAM Does MiniMax M2.7 BF16 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 97.8 GB | 123.5 GB | 97.19 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 112.0 GB | 137.8 GB | 111.49 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 137.8 GB | 163.5 GB | 137.21 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 163.5 GB | 189.3 GB | 162.94 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 189.2 GB | 215.0 GB | 188.67 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 229.3 GB | 255.0 GB | 228.69 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 457.9 GB | 483.7 GB | 457.38 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 M2.7 BF16?
Q4_K_M · 137.8 GBMiniMax M2.7 BF16 (Q4_K_M) requires 137.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 180+ GB is recommended. Using the full 205K context window can add up to 25.8 GB, bringing total usage to 163.5 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run MiniMax M2.7 BF16?
Q4_K_M · 137.8 GB6 devices with unified memory can run MiniMax M2.7 BF16, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 256GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does MiniMax M2.7 BF16 need?
MiniMax M2.7 BF16 requires 137.8 GB of VRAM at Q4_K_M, or 457.9 GB at BF16. Full 205K context adds up to 25.8 GB (163.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 228.7B × 4.8 bits ÷ 8 = 137.2 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 26.3 GB (at full 205K context)
VRAM usage by quantization
Q4_K_M137.8 GBQ4_K_M + full context163.5 GB- Can NVIDIA GeForce RTX 5090 run MiniMax M2.7 BF16?
No — MiniMax M2.7 BF16 requires at least 97.8 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for MiniMax M2.7 BF16?
For MiniMax M2.7 BF16, Q4_K_M (137.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (163.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 97.8 GB.
VRAM requirement by quantization
Q2_K97.8 GBQ4_K_M ★137.8 GBQ5_K_M163.5 GBQ6_K189.2 GBQ8_0229.3 GBBF16457.9 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run MiniMax M2.7 BF16 on a Mac?
MiniMax M2.7 BF16 requires at least 97.8 GB at Q2_K, 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 M2.7 BF16 locally?
Yes — MiniMax M2.7 BF16 can run locally on consumer hardware. At Q4_K_M quantization it needs 137.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is MiniMax M2.7 BF16?
At Q4_K_M, MiniMax M2.7 BF16 can reach ~32 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 B200 → 8000 ÷ 137.8 × 0.65 = ~38 tok/s
Estimated speed at Q4_K_M (137.8 GB)
~38 tok/s~38 tok/s~32 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of MiniMax M2.7 BF16?
At Q4_K_M, the download is about 137.21 GB. The full-precision BF16 version is 457.38 GB. The smallest option (Q2_K) is 97.19 GB.
- Which GPUs can run MiniMax M2.7 BF16?
No single consumer GPU has enough VRAM to run MiniMax M2.7 BF16 at Q4_K_M (137.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run MiniMax M2.7 BF16?
6 devices with unified memory can run MiniMax M2.7 BF16 at Q4_K_M (137.8 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.