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

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

Nemostein 3 Hermes 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 Hermes Omni 30B A3b?

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

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

Nemostein 3 Hermes 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: 0.24.

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

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

Nemostein 3 Hermes Omni 30B A3b Parameters and Internals

LLM Name	Nemostein 3 Hermes Omni 30B A3b
Repository 🤗	https://huggingface.co/GestaltLabs/Nemostein-3-Hermes-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	2026-04-30
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
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<SPECIAL_999>
Vocabulary Size	131072

Rank the Nemostein 3 Hermes Omni 30B A3b capabilities

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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 Hermes Omni 30B A3b

Best Alternatives	Context / RAM	Downloads	Likes
Nemostein 3 Nano Omni 30B A3b	256K / 63.2 GB	593	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-Hermes-Omni-30b-a3b.