What are the hardware requirements for Nemostein 3 Nano Omni 30B A3b?

Nemostein 3 Nano Omni 30B A3b 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 Nemostein 3 Nano Omni 30B A3b and how large is it?

Nemostein 3 Nano Omni 30B A3b is developed by GestaltLabs, 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 Nemostein 3 Nano Omni 30B A3b?

Nemostein 3 Nano Omni 30B A3b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemostein 3 Nano Omni 30B A3b by GestaltLabs — VRAM 63.2GB, 256K context

Name: Nemostein 3 Nano Omni 30B A3b
Author: GestaltLabs

Nemostein 3 Nano Omni 30B A3b is an open-source language model by GestaltLabs. Features: 30b LLM, VRAM: 63.2GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.25.

Base model:adapter:unsloth/nvi... Base model:unsloth/nvidia-nemo... Conversational Custom code Endpoints compatible English Function-calling Gguf Lora Mixture-of-experts Nemotron Nemotron-h Nemotron h Quantized Reasoning Region:us Safetensors Sft Sharded Tensorflow Tool-use Unsloth

Model Card on HF 🤗: https://huggingface.co/GestaltLabs/Nemostein-3-Nano-Omni-30b-a3b

Nemostein 3 Nano Omni 30B A3b Parameters and Internals

LLM Name	Nemostein 3 Nano Omni 30B A3b
Repository 🤗	https://huggingface.co/GestaltLabs/Nemostein-3-Nano-Omni-30b-a3b
Model Name	unsloth/Nemotron-3-Nano-30B-A3B
Base Model(s)	unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-GGUF unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-GGUF
Model Size	30b
Required VRAM	63.2 GB
Updated	2026-05-08
Maintainer	GestaltLabs
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 3.2 GB: 13-of-13
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<SPECIAL_999>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemostein 3 Nano Omni 30B A3b 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 Nemostein 3 Nano Omni 30B A3b

Best Alternatives	Context / RAM	Downloads	Likes
...emostein 3 Hermes Omni 30B A3b	256K / 63.2 GB	151	1
...motron 3 Nano 30B A3B MLX 4Bit	256K / 17.8 GB	205	1
...motron 3 Nano 30B A3B MLX 6Bit	256K / 25.8 GB	148	2
...ron 3.5 Lightning 30B A3B 4bit	256K / 17.8 GB	2504	4
...5 Lightning 30B A3B OptiQ 4bit	256K / 22.1 GB	416	2
...3.5 Lightning 30B A3B MLX 6bit	256K / 25.8 GB	182	1
...tron 3 Nano 30B A3B OptiQ 4bit	256K / 22.1 GB	644	2
...emotron Cascade 2 30B A3B 4bit	256K / 17.8 GB	843	19
...emotron Cascade 2 30B A3B 8bit	256K / 33.5 GB	279	8
...emotron Cascade 2 30B A3B 6bit	256K / 25.8 GB	271	6

Note: green Score (e.g. "73.2") means that the model is better than GestaltLabs/Nemostein-3-Nano-Omni-30b-a3b.