MiMo-V2.5
🤗 HuggingFace 📰 Blog 🎨 Xiaomi MiMo API Platform 🗨️ Xiaomi MiMo Studio
Params
310.8 B
Context
1,048,576
Downloads 30d
389 K
Likes
387
Download history
daily snapshots · 10 days389 K322 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 | 315.7 GB | 394.4 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 1024K ctx | 315.7 GB | 6,314.7 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/mimo-v2-5
{
"hf_id": "XiaomiMiMo/MiMo-V2.5",
"params_b": 310.78,
"context_length": 1048576,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 388951,
"vram_estimates": [
{ "quant": "f8_e4m3", "gb": 394.4 }
],
"updated_at": "2026-07-28T18:06:21Z"
}
Specifications
- Architecture
- MiMoV2ForCausalLM
- Parameters
- 310.8 B
- Tensor type
- F8_E4M3
- Context length
- 1,048,576
- Vocabulary
- 152,576
- Layers / heads
- 48 / 64
- Licence
- mit
- First seen on the Hub
- 2026-04-27
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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