nvidia / text-generation Open weights updated 5 months ago

Kimi-K2.6-NVFP4

The NVIDIA Kimi-K2.6-NVFP4 model is the quantized version of the Moonshot AI's Kimi-K2.6 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Kimi-K2.6 NVFP4 model is quantized with Model Optimizer.

Params
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Context
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Downloads 30d
157 K
Likes
47
Licence: other Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 106 days
▲ 19 K in the last 30 days (10.9%)
605 K143 K
Jul 28Sep 1Oct 6Nov 10

Can you run it?

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

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors fp16 595.2 GB 655.2 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 · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/kimi-k2-6-nvfp4
{
  "hf_id": "nvidia/Kimi-K2.6-NVFP4",
  "params_b": null,
  "context_length": null,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 156813,
  "vram_estimates": [
    { "quant": "fp16", "gb": 655.2 }
  ],
  "updated_at": "2026-07-28T18:04:46Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
KimiK25ForConditionalGeneration
Licence
other
First seen on the Hub
2026-05-11
Base model
Kimi-K2.6
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