NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark
The NVIDIA Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark model is the DSpark speculative decoding checkpoint for NVIDIA's Nemotron-3.5-Lightning-30B-A3B model family, which is a hybrid LatentMoE language model designed for reasoning, chat, and agentic workflows. For more information, please check BF16, NVFP4. The NVIDIA Nemotron-3.5-Lightning-30B-A3B-DSpark-NVFP4 model is intended for DSpark speculative decoding deploy...
Params
760 M
Context
1,048,576
Downloads 30d
241 K
Likes
30
Download history
daily snapshots · 22 days326 K191 K
Aug 31Sep 7Sep 14Sep 21
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 | bf16 | 1.3 GB | 2.1 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 1024K ctx | 1.3 GB | 16.6 GB | ✅ Runs comfortably |
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-3-5-lightning-30b-a3b-nvfp4-dspark
{
"hf_id": "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark",
"params_b": 0.76,
"context_length": 1048576,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 241067,
"vram_estimates": [
{ "quant": "bf16", "gb": 2.1 }
],
"updated_at": "2026-09-02T01:00:29Z"
}
Specifications
- Architecture
- Qwen3DSparkModel
- Parameters
- 760 M
- Tensor type
- BF16
- Context length
- 1,048,576
- Vocabulary
- 131,072
- Layers / heads
- 6 / 32
- Licence
- other
- First seen on the Hub
- 2026-08-05
- Base model
- NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-31
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model