MiniMaxAI / text-generation updated 4 months ago

MiniMax-M2.5

Name: MiniMax-M2.5
Author: MiniMaxAI

Join Our 💬 WeChat 🧩 Discord community. MiniMax Agent ⚡️ API MCP MiniMax Website 🤗 Hugging Face 🚀 Hugging Face API 🐙 GitHub 🤖️ ModelScope 📄 License: Modified-MIT

Params

228.7 B

Context

196,608

Downloads 30d

780 K

Likes

1,502

Licence: other Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

790 K755 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f8_e4m3	230.1 GB	288.0 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 192K ctx	230.1 GB	1,077.0 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/minimax-m2-5
{
  "hf_id": "MiniMaxAI/MiniMax-M2.5",
  "params_b": 228.70,
  "context_length": 196608,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 779639,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 288.0 }
  ],
  "updated_at": "2026-07-28T18:04:09Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: MiniMaxM2ForCausalLM
Parameters: 228.7 B
Tensor type: F8_E4M3
Context length: 196,608
Vocabulary: 200,064
Layers / heads: 62 / 48
Licence: other
First seen on the Hub: 2026-02-12
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

DeepSeek-R1 9.9 M gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M DeepSeek-V4-Flash 2.7 M GLM-5.2-NVFP4 1.8 M MiniMax-M2.7 924 K

Appears in

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