Kimi-K2-Thinking-NVFP4
The NVIDIA Kimi-K2-Thinking-NVFP4 model is the quantized version of the Moonshot AI's Kimi-K2-Thinking model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Kimi-K2-Thinking NVFP4 model is quantized with TensorRT Model Optimizer.
Params
519.1 B
Context
262,144
Downloads 30d
227 K
Likes
40
Download history
daily snapshots · 14 days232 K171 K
Oct 11Oct 15Oct 20Oct 24
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 | 594.2 GB | 732.0 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 594.2 GB | 3,145.7 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/kimi-k2-thinking-nvfp4
{
"hf_id": "nvidia/Kimi-K2-Thinking-NVFP4",
"params_b": 519.07,
"context_length": 262144,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 227118,
"vram_estimates": [
{ "quant": "u8", "gb": 732.0 }
],
"updated_at": "2026-10-11T01:00:12Z"
}
Specifications
- Architecture
- DeepseekV3ForCausalLM
- Parameters
- 519.1 B
- Tensor type
- U8
- Context length
- 262,144
- Vocabulary
- 163,840
- Layers / heads
- 61 / 64
- Licence
- other
- First seen on the Hub
- 2025-12-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-11
Compare with any text-generation model