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EtherealAurora MN Nemo 12B by TomoDG

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EtherealAurora MN Nemo 12B is an open-source language model by TomoDG. Features: 12b LLM, VRAM: 24.1GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2306.01708   12b   Autotrain compatible Base model:inflatebot/mn-12b-m... Base model:marinaraspaghetti/n... Base model:yamatazen/ethereala...   Chat   Conversational   En   Endpoints compatible   Etherealaurora   Mistral   Mn-mag-mell   Nemomix   Region:us   Roleplay   Safetensors   Sharded   Tensorflow   Ties
Model Card on HF 🤗: https://huggingface.co/TomoDG/EtherealAurora-MN-Nemo-12B 

EtherealAurora MN Nemo 12B Benchmarks

LLME Score: 0.18727
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EtherealAurora MN Nemo 12B (TomoDG/EtherealAurora-MN-Nemo-12B)
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EtherealAurora MN Nemo 12B Parameters and Internals

LLM NameEtherealAurora MN Nemo 12B
Repository 🤗https://huggingface.co/TomoDG/EtherealAurora-MN-Nemo-12B 
Base Model(s)  EtherealAurora 12B V2   MN 12B Mag Mell R1   NemoMix Unleashed 12B   yamatazen/EtherealAurora-12B-v2   inflatebot/MN-12B-Mag-Mell-R1   MarinaraSpaghetti/NemoMix-Unleashed-12B
Merged ModelYes
Model Size12b
Required VRAM24.1 GB
Updated2025-09-19
MaintainerTomoDG
Model Typemistral
Model Files  1.3 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.1 GB: 4-of-13   2.1 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.1 GB: 9-of-13   2.1 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   0.4 GB: 13-of-13
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizer
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 TomoDG/EtherealAurora-MN-Nemo-12B.

Rank the EtherealAurora MN Nemo 12B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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