Model reference · open weights
NVIDIA-Nemotron-3.5-Lightning-DFlash is an open-weight language model from nvidia, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Model Overview Description: The NVIDIA Nemotron-3.5-Lightning-30B-A3B-NVFP4-DFlash model is the DFlash 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-DFlash-NVFP4 model is intended for lower-latency speculative decoding deployments tuned for low-concurrency data centre and workstation workflows. This model is ready for commercial or non-commercial use. License/Terms of Use: GOVERNING DOWNLOAD TERMS: Use of this model is governed by the OpenMDW-1.1 model license. Deployment Geography: Global Use Case: Developers deploying Nemotron-3.5-Lightning-30B-A3B for reasoning, chat, RAG, and agentic workflows that benefit from lower-latency speculative decoding on data centre GPUs and high-end local GPU systems. This release is intended for DFlash-assisted serving of Nemotron-3.5-Lightning-30B-A3B rather than as a standalone target model checkpoint. Release Date: Hugging Face 08/11/2026 via https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DFlash References - NVIDIA Model Optimizer: https://github.com/NVIDIA/Model-Optimizer - NVIDIA Nemotron-3.5-Lightning-30B-A3B-BF16 reasoning model card - NVIDIA Nemotron-3.5-Lightning-30B-A3B-NVFP4 reasoning model card - OpenMDW License Agreement, version 1.1 - DFlash: Block Diffusion for Flash Speculative Decoding Model Architecture: The DFlash model architecture is as follows: Architecture Type: Dense GQA (Dense MLP + GQA Attention) Network Architecture: Dense FFN MLP, and GQA Attention layers; DFlash speculative decoding attention uses non-causal, full-sequence grouped-query attention (GQA). Number of Model Parameters: 833M total parameters, of which 481M are non-embedding parameters. For more information about the underlying model's architecture, please see this Nemotron-3.5-Lightning-30B-A3B-BF16, Nemotron-3.5-Lightning-30B-A3B-NVFP4. Input: Input Type(s): Text Input Format(s): String Input Parameters: One-Dimensional (1D): Sequences Other Properties Related to Input: Maximum context
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | nvidia |
|---|---|
| Type | Language models |
| Parameters (lead) | 663M |
| Variants | 1 |
| Runs with | Model Optimizer |
| Based on | nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16, nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 |
| Released | 2026-08-05 |
| Popularity | 3k downloads / month |
| Likes | 20 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DFlash | 663M | NVFP4 | — | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys nvidia-nemotron-3-5-lightning-dflash for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-nemotron-3-5-lightning-dflash below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nvidia-nemotron-3-5-lightning-dflash","messages":[{"role":"user","content":"Hello"}]}'
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗
Sources