MiniMax-M2.5-NVFP4
The NVIDIA MiniMax-M2.5-NVFP4 model is the quantized version of MiniMax's MiniMax-M2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA MiniMax-M2.5 NVFP4 model is quantized with Nvidia Model Optimizer.
Params
116.4 B
Context
196,608
Downloads 30d
222 K
Likes
38
Download history
daily snapshots · 39 days
▲ 311 K in the last 30 days (58.3%)
777 K222 K
Aug 23Sep 2Sep 12Sep 21
777 K222 K
Aug 14Aug 27Sep 9Sep 21
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 | u8 | 139.9 GB | 171.8 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 192K ctx | 139.9 GB | 573.2 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 -s https://aimodelscomparison.com/api/v1/models/minimax-m2-5-nvfp4
{
"hf_id": "nvidia/MiniMax-M2.5-NVFP4",
"params_b": 116.35,
"context_length": 196608,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 221989,
"vram_estimates": [
{ "quant": "u8", "gb": 171.8 }
],
"updated_at": "2026-08-14T01:00:24Z"
}
Specifications
- Architecture
- MiniMaxM2ForCausalLM
- Parameters
- 116.4 B
- Tensor type
- U8
- Context length
- 196,608
- Vocabulary
- 200,064
- Layers / heads
- 62 / 48
- Licence
- other
- First seen on the Hub
- 2026-03-11
- Base model
- MiniMax-M2.5
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-14
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model