MiniMax M2.7 230B-A10B — 显存、速度与本地部署
作者： Jakub Rusinowski · 最后更新：
230B total / 10B active across 256 experts. Needs roughly 130 GB at Q4 — a multi-GPU workstation or a rented node. The headline constraint is legal rather than technical: the weights are freely downloadable but the license is non-commercial, so it is not a drop-in for business use the way an Apache or MIT model would be. Context window is recorded as null here: published figures disagree (200K in most sources, 192K in the vLLM recipe) and neither could be confirmed against a primary page from this environment.
MiniMax M2.7 230B-A10B 在 Q4_K_M 下约需 140 GB 显存——量化权重加框架开销，不含 KV 缓存。在 Apple Silicon 上，这部分来自统一内存。
按量化级别的显存与速度
计算基准：NVIDIA RTX 4090 (24 GB)。仅含权重与开销：该模型架构未公开，因此未计入 KV 缓存。
| 量化 | 显存 | 显存 | 速度（估算） | 适配 |
|---|---|---|---|---|
| Q2_K 2.63 bpw | 76.4 GB | — | 放不下 | |
| Q3_K_M 3.41 bpw | 98.8 GB | — | 放不下 | |
| Q4_K_M 4.83 bpw | 139.7 GB | — | 放不下 | |
| Q5_K_M 5.67 bpw | 163.8 GB | — | 放不下 | |
| Q6_K 6.56 bpw | 189.4 GB | — | 放不下 | |
| Q8_0 8.50 bpw | 245.2 GB | — | 放不下 | |
| F16 16.00 bpw | 460.8 GB | — | 放不下 |
黑色标记 = NVIDIA RTX 4090 (24 GB) 上的可用显存。 估算来自内存带宽屋顶线模型，详见 方法说明页. MiniMax M2.7 230B-A10B 显存计算器 →
运行 MiniMax M2.7 230B-A10B
目录中能运行 MiniMax M2.7 230B-A10B 的最便宜 GPU 是 Apple M3 Ultra (512 GB).
作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。
如何运行 MiniMax M2.7 230B-A10B
安装 Ollama，然后运行：
ollama run minimax-m2-7规格
Preview — The model is released, but these specs are thin or rest on a single source. Individual fields may be wrong.
Preview — The model is released, but these specs are thin or rest on a single source. Individual fields may be wrong.
- 参数量
- 230 Billion (10B active)
- 上下文窗口
- Unverified — sources disagree (192K–200K)
- 架构
- Mixture-of-Experts (256 experts, 62 layers, RoPE)
- 提供商
- MiniMax
- 许可证
- Non-Commercial (commercial use requires separate agreement)
- Practical deployment
- Workstation (large unified memory or pro GPU)
- 规格量化
- Q4_K_M
- 系统内存
- 256 GB
- 记录更新于
- 2026-08-15
Research / non-commercial only — this licence does NOT permit shipping a commercial product.
质量与使用场景
评分由模型作者或独立评测方发布——衡量质量而非吞吐量，并非我们实测。
我的 GPU 能运行 MiniMax M2.7 230B-A10B 吗？
- MiniMax M2.7 在 AMD Ryzen AI Max+ 395 上
- MiniMax M2.7 在 Apple M1 Max 上
- MiniMax M2.7 在 Apple M1 Ultra 上
- MiniMax M2.7 在 Apple M2 Max 上
- MiniMax M2.7 在 Apple M2 Ultra 上
- MiniMax M2.7 在 Apple M3 Max 上
- MiniMax M2.7 在 Apple M4 Max 上
- MiniMax M2.7 在 Apple M5 Max 上
- MiniMax M2.7 在 Apple M5 Pro 上
- MiniMax M2.7 在 NVIDIA A100 80GB (PCIe) 上
- MiniMax M2.7 在 NVIDIA DGX Spark 上
- MiniMax M2.7 在 NVIDIA H100 80GB (PCIe) 上
- MiniMax M2.7 在 NVIDIA RTX PRO 6000 Blackwell 上
MiniMax M2.7 230B-A10B — 常见问题
How much VRAM does MiniMax M2.7 230B-A10B need?
About 140 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.
Does MiniMax M2.7 230B-A10B run on an RTX 4090 (24 GB)?
No. MiniMax M2.7 230B-A10B needs about 140 GB at Q4_K_M, more than a single RTX 4090's 24 GB. It needs a larger card, several GPUs, or Apple Silicon with enough unified memory — or it runs with part of the weights offloaded to system RAM, which is much slower.
How do I run MiniMax M2.7 230B-A10B locally?
Install Ollama and run `ollama run minimax-m2-7`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.