What are the hardware requirements for NVIDIA Nemotron Labs Teacher STEM?

NVIDIA Nemotron Labs Teacher STEM requires approximately 204.9 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 NVIDIA Nemotron Labs Teacher STEM and how large is it?

NVIDIA Nemotron Labs Teacher STEM is developed by EmperoAI, a model with 560.5b 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 Labs Teacher STEM?

NVIDIA Nemotron Labs Teacher STEM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NVIDIA Nemotron Labs Teacher STEM by EmperoAI — VRAM 204.9GB, 256K context

Name: NVIDIA Nemotron Labs Teacher STEM
Author: EmperoAI

NVIDIA Nemotron Labs Teacher STEM is an open-source language model by EmperoAI. Features: 560.5b LLM, VRAM: 204.9GB, Context: 256K, License: other.

Ar Conversational Custom code Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-pre-tr... De En Endpoints compatible Es Fr He Hi It Ja Ko Latent-moe Mtp Nemotron-3 Nemotron h Nvidia Pt Pytorch Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/EmperoAI/NVIDIA-Nemotron-Labs-Teacher-STEM

NVIDIA Nemotron Labs Teacher STEM Parameters and Internals

LLM Name	NVIDIA Nemotron Labs Teacher STEM
Repository 🤗	https://huggingface.co/EmperoAI/NVIDIA-Nemotron-Labs-Teacher-STEM
Model Size	560.5b
Required VRAM	204.9 GB
Updated	2026-08-17
Maintainer	EmperoAI
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-225 5.0 GB: 2-of-225 5.0 GB: 3-of-225 5.0 GB: 4-of-225 4.9 GB: 5-of-225 5.0 GB: 6-of-225 5.0 GB: 7-of-225 5.0 GB: 8-of-225 5.0 GB: 9-of-225 5.0 GB: 10-of-225 5.0 GB: 11-of-225 5.0 GB: 12-of-225 5.0 GB: 13-of-225 5.0 GB: 14-of-225 5.0 GB: 15-of-225 5.0 GB: 16-of-225 5.0 GB: 17-of-225 5.0 GB: 18-of-225 5.0 GB: 19-of-225 5.0 GB: 20-of-225 5.0 GB: 21-of-225 5.0 GB: 22-of-225 5.0 GB: 23-of-225 5.0 GB: 24-of-225 5.0 GB: 25-of-225 5.0 GB: 26-of-225 5.0 GB: 27-of-225 5.0 GB: 28-of-225 5.0 GB: 29-of-225 5.0 GB: 30-of-225 5.0 GB: 31-of-225 5.0 GB: 32-of-225 5.0 GB: 33-of-225 5.0 GB: 34-of-225 5.0 GB: 35-of-225 5.0 GB: 36-of-225 5.0 GB: 37-of-225 5.0 GB: 38-of-225 5.0 GB: 39-of-225 5.0 GB: 40-of-225 5.0 GB: 41-of-225
Supported Languages	en fr es it de pt ja ko hi ar zh he
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Vocabulary Size	131072

Rank the NVIDIA Nemotron Labs Teacher STEM 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 NVIDIA Nemotron Labs Teacher STEM

Best Alternatives	Context / RAM	Downloads	Likes
...DIA Nemotron Labs Teacher STEM	256K / 204.9 GB	872	3
...abs Teacher Competition Coding	256K / 214.9 GB	862	3
...Labs Teacher General Reasoning	256K / 214.9 GB	75	8

Note: green Score (e.g. "73.2") means that the model is better than EmperoAI/NVIDIA-Nemotron-Labs-Teacher-STEM.