NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4
The post-training data has a cutoff date of November 28, 2025\. The pre-training data has a cutoff date of June 25, 2025\.
Params
18.2 B
Context
262,144
Downloads 30d
765 K
Likes
174
Download history
daily snapshots · 10 days1.3 M765 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 | u8 | 19.3 GB | 24.5 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 19.3 GB | 109.3 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/nvidia-nemotron-3-nano-30b-a3b-nvfp4
{
"hf_id": "nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4",
"params_b": 18.24,
"context_length": 262144,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 765499,
"vram_estimates": [
{ "quant": "u8", "gb": 24.5 }
],
"updated_at": "2026-07-28T18:03:18Z"
}
Specifications
- Architecture
- NemotronHForCausalLM
- Parameters
- 18.2 B
- Tensor type
- U8
- Context length
- 262,144
- Vocabulary
- 131,072
- Layers / heads
- 52 / 32
- Licence
- other
- First seen on the Hub
- 2025-12-20
- Base model
- NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
- Training datasets
- nvidia/Nemotron-Pretraining-Code-v1, nvidia/Nemotron-CC-v2, nvidia/Nemotron-Pretraining-SFT-v1, nvidia/Nemotron-CC-Math-v1, nvidia/Nemotron-Pretraining-Code-v2, nvidia/Nemotron-Pretraining-Specialized-v1, nvidia/Nemotron-CC-v2.1, nvidia/Nemotron-CC-Code-v1, nvidia/Nemotron-Pretraining-Dataset-sample, nvidia/Nemotron-Competitive-Programming-v1, nvidia/Nemotron-Math-v2, nvidia/Nemotron-Agentic-v1, nvidia/Nemotron-Math-Proofs-v1, nvidia/Nemotron-Instruction-Following-Chat-v1, nvidia/Nemotron-Science-v1, nvidia/Nemotron-3-Nano-RL-Training-Blend
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
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