What are the hardware requirements for Educa Ai Nemo DPO?

Educa Ai Nemo DPO requires approximately 49.3 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Educa Ai Nemo DPO and how large is it?

Educa Ai Nemo DPO is developed by DigitalLearningGmbH, a model with 12.2b 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 Educa Ai Nemo DPO?

Educa Ai Nemo DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Educa Ai Nemo DPO by DigitalLearningGmbH — VRAM 49.3GB, 1000K context

Name: Educa Ai Nemo DPO
Author: DigitalLearningGmbH

Educa Ai Nemo DPO is an open-source language model by DigitalLearningGmbH. Features: 12.2b LLM, VRAM: 49.3GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.16.

Arxiv:2402.13228 Base model:digitallearninggmbh... Base model:finetune:digitallea... Conversational De En Endpoints compatible Es Fr It Ja Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/DigitalLearningGmbH/educa-ai-nemo-dpo

Educa Ai Nemo DPO Parameters and Internals

LLM Name	Educa Ai Nemo DPO
Repository 🤗	https://huggingface.co/DigitalLearningGmbH/educa-ai-nemo-dpo
Base Model(s)	Educa Ai Nemo Sft DigitalLearningGmbH/educa-ai-nemo-sft
Model Size	12.2b
Required VRAM	49.3 GB
Updated	2026-08-25
Maintainer	DigitalLearningGmbH
Model Type	mistral
Model Files	5.0 GB: 1-of-10 4.7 GB: 2-of-10 5.0 GB: 3-of-10 4.9 GB: 4-of-10 5.0 GB: 5-of-10 4.9 GB: 6-of-10 5.0 GB: 7-of-10 4.9 GB: 8-of-10 5.0 GB: 9-of-10 4.9 GB: 10-of-10
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.48.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float32

Rank the Educa Ai Nemo DPO 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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...aptain Eris Violet GRPO V0.420	1000K / 24.5 GB	23	24
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Tess Embed Fix Maybe	1000K / 24.5 GB	13	0
Funny Nemo Embedding Testing	1000K / 24.5 GB	5	1
12BTRU	1000K / 24.5 GB	21	0
Another Strange Nemo Model	1000K / 24.5 GB	6	0
A Strange Nemo Model	1000K / 24.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than DigitalLearningGmbH/educa-ai-nemo-dpo.