Kimi-K2.5-NVFP4
The NVIDIA Kimi-K2.5-NVFP4 model is the quantized version of the Moonshot AI's Kimi-K2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Kimi-K2.5 NVFP4 model is quantized with Model Optimizer.
Params
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Context
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Downloads 30d
192 K
Likes
91
Download history
daily snapshots · 106 days
▲ 72 K in the last 30 days (27.3%)
262 K192 K
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268 K189 K
Aug 13Sep 12Oct 12Nov 10
360 K189 K
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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 | fp16 | 590.8 GB | 650.4 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/kimi-k2-5-nvfp4
{
"hf_id": "nvidia/Kimi-K2.5-NVFP4",
"params_b": null,
"context_length": null,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 191992,
"vram_estimates": [
{ "quant": "fp16", "gb": 650.4 }
],
"updated_at": "2026-07-28T18:06:07Z"
}
Specifications
- Architecture
- KimiK25ForConditionalGeneration
- Licence
- other
- First seen on the Hub
- 2026-01-30
- Base model
- Kimi-K2.5
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model