What are the hardware requirements for NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit?

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit requires approximately 6.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit and how large is it?

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit is developed by mlx-community, a model with 7.5b 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 NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit?

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit by mlx-community — VRAM 6.5GB

Name: NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit
Author: mlx-community

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit is an open-source language model by mlx-community. Features: 7.5b LLM, VRAM: 6.5GB, License: other, Quantized.

4-bit 4bit 8bit Apple-silicon Ar Base model:nvidia/nvidia-nemot... Base model:quantized:nvidia/nv... Bg Conversational Cs Da De El En Es Et Fi Fr Gemma-4 Gemma4 Hi Hr Hu Id Image-text-to-text It Ja Ko Lt Lv Mixed-precision Mlx Nemotron Nl No Optiq Pl Pt Quantized Region:us Ro Ru Safetensors Sharded Sk Sl Sv Tensorflow Th Tr Uk Vi Vision Vision-language-model Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/NVIDIA-Nemotron-3.5-Bolt-E4B-OptiQ-4bit

NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit Parameters and Internals

LLM Name	NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/NVIDIA-Nemotron-3.5-Bolt-E4B-OptiQ-4bit
Base Model(s)	nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16 nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16
Model Size	7.5b
Required VRAM	6.5 GB
Updated	2026-10-27
Maintainer	mlx-community
Model Type	gemma4
Model Files	3.5 GB: 1-of-2 3.0 GB: 2-of-2 1.0 GB
Supported Languages	en ar bg cs da de el es et fi fr hi hr hu id it ja ko lt lv nl no pl pt ro ru sk sl sv th tr uk vi zh
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	other
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the NVIDIA Nemotron 3.5 Bolt E4B OptiQ 4bit 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

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/NVIDIA-Nemotron-3.5-Bolt-E4B-OptiQ-4bit.