What are the hardware requirements for Romulus Mistral Nemo 12B Simpo?

Romulus Mistral Nemo 12B Simpo requires approximately 24.5 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 Romulus Mistral Nemo 12B Simpo and how large is it?

Romulus Mistral Nemo 12B Simpo is developed by axolotl-ai-co, a model with 12b 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 Romulus Mistral Nemo 12B Simpo?

Romulus Mistral Nemo 12B Simpo is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Romulus Mistral Nemo 12B Simpo by axolotl-ai-co — VRAM 24.5GB, 1000K context

Name: Romulus Mistral Nemo 12B Simpo
Author: axolotl-ai-co

Romulus Mistral Nemo 12B Simpo is an open-source language model by axolotl-ai-co. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:winglian/m... Base model:winglian/m12b-20240... Conversational Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/axolotl-ai-co/romulus-mistral-nemo-12b-simpo

Romulus Mistral Nemo 12B Simpo Parameters and Internals

Use Cases

Considerations:

More information needed

Additional Notes

This model is fine-tuned on an unknown dataset.

Training Details

Data Sources:

princeton-nlp/gemma2-ultrafeedback-armorm

Methodology:

Fine-tuning

Context Length:

8192

Hardware Used:

multi-GPU, 8 devices

LLM Name	Romulus Mistral Nemo 12B Simpo
Repository 🤗	https://huggingface.co/axolotl-ai-co/romulus-mistral-nemo-12b-simpo
Base Model(s)	winglian/m12b-20240721-test010 winglian/m12b-20240721-test010
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-18
Maintainer	axolotl-ai-co
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.43.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Romulus Mistral Nemo 12B Simpo 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 axolotl-ai-co/romulus-mistral-nemo-12b-simpo.