What are the hardware requirements for DeepNemotron 3.5 Lightning BF16?

DeepNemotron 3.5 Lightning BF16 requires approximately 63.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepNemotron 3.5 Lightning BF16 and how large is it?

DeepNemotron 3.5 Lightning BF16 is developed by vcruz305, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate DeepNemotron 3.5 Lightning BF16?

DeepNemotron 3.5 Lightning BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepNemotron 3.5 Lightning BF16 by vcruz305 — VRAM 63.2GB, 256K context

Name: DeepNemotron 3.5 Lightning BF16
Author: vcruz305

DeepNemotron 3.5 Lightning BF16 is an open-source language model by vcruz305. Features: 30b LLM, VRAM: 63.2GB, Context: 256K, License: other, LLM Explorer Score: 0.31.

Agentic Base model:finetune:unsloth/nv... Base model:unsloth/nvidia-nemo... Bf16 Conversational Dataset:r0b0tlab/deepseek-v4-p... En Endpoints compatible Moe Nemotron Nemotron h Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vcruz305/DeepNemotron-3.5-Lightning-BF16

DeepNemotron 3.5 Lightning BF16 Parameters and Internals

LLM Name	DeepNemotron 3.5 Lightning BF16
Repository 🤗	https://huggingface.co/vcruz305/DeepNemotron-3.5-Lightning-BF16
Base Model(s)	unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B
Model Size	30b
Required VRAM	63.2 GB
Updated	2026-08-18
Maintainer	vcruz305
Model Type	nemotron_h
Model Files	49.9 GB: 1-of-2 13.3 GB: 2-of-2
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<SPECIAL_999>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the DeepNemotron 3.5 Lightning BF16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to DeepNemotron 3.5 Lightning BF16

Best Alternatives	Context / RAM	Downloads	Likes
...on 3.5 Lightning 30B A3B NVFP4	1024K / 12.6 GB	19250	100
...30B A3B NVFP4 Global Pruned 15	1024K / 11 GB	148	19
...A Nemotron 3 Nano 30B A3B BF16	256K / 63.2 GB	1645889	752
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	1568	8
Nemotron Cascade 2 30B A3B	256K / 63.2 GB	88240	518
...IA Nemotron 3 Nano 30B A3B FP8	256K / 32.7 GB	566152	356
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
...Nemotron 3.5 Lightning 30B A3B	256K / 65.9 GB	474	4
....5 Lightning 30B A3B Base BF16	256K / 65.9 GB	336	12

Note: green Score (e.g. "73.2") means that the model is better than vcruz305/DeepNemotron-3.5-Lightning-BF16.