What are the hardware requirements for Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014?

Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 requires approximately 10.2 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.

Where can I download or evaluate Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014?

Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 by nota-ai — VRAM 10.2GB, 256K context

Name: Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014
Author: nota-ai

Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 is an open-source language model by nota-ai. Features: 30b LLM, VRAM: 10.2GB, Context: 256K, License: openmdw-1.1.

1.58-bits 2-bit Base model:nvidia/nvidia-nemot... Base model:quantized:nvidia/nv... Conversational Mamba Mlx Moe Nemotron h On-device Quantized Region:us Safetensors Sharded Tensorflow Ternary

Model Card on HF 🤗: https://huggingface.co/nota-ai/Nemotron-3.5-Lightning-30B-A3B-Nota-Ternary-MLX-1014

Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 Parameters and Internals

LLM Name	Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014
Repository 🤗	https://huggingface.co/nota-ai/Nemotron-3.5-Lightning-30B-A3B-Nota-Ternary-MLX-1014
Base Model(s)	nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
Model Size	30b
Required VRAM	10.2 GB
Updated	2026-10-17
Maintainer	nota-ai
Model Type	nemotron_h
Model Files	9.4 GB: 1-of-2 0.8 GB: 2-of-2
Model Architecture	NemotronHForCausalLM
License	openmdw-1.1
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072

Rank the Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014 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 Nemotron 3.5 Lightning 30B A3B Nota Ternary MLX 1014

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
... 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
...ron 3.5 Lightning 30B A3B BF16	256K / 65.9 GB	15740	62
... Nemotron 3 Nano 30B A3B NVFP4	256K / 19.3 GB	765499	174
Phonellm Alpha 1	256K / 63.2 GB	64	107
...otron 3 Nano 30B A3B Base BF16	256K / 63.2 GB	90736	127

Note: green Score (e.g. "73.2") means that the model is better than nota-ai/Nemotron-3.5-Lightning-30B-A3B-Nota-Ternary-MLX-1014.