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Romulus Mistral Nemo 12B Simpo by axolotl-ai-co

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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: 0.22.

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 Benchmarks

LLME Score: 0.21521
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Romulus Mistral Nemo 12B Simpo (axolotl-ai-co/romulus-mistral-nemo-12b-simpo)
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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 NameRomulus 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 Size12b
Required VRAM24.5 GB
Updated2026-05-18
Maintaineraxolotl-ai-co
Model Typemistral
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 ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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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.

Rank the Romulus Mistral Nemo 12B Simpo 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  

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