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EtherealAurora 12B V2 by yamatazen

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  Merged Model   Autotrain compatible Base model:natong19/mistral-ne... Base model:yamatazen/ethereala...   Chatml   Conversational   En   Endpoints compatible   Instruct   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/EtherealAurora-12B-v2 

EtherealAurora 12B V2 Benchmarks

LLME Score: 0.25301
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EtherealAurora 12B V2 (yamatazen/EtherealAurora-12B-v2)
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EtherealAurora 12B V2 Parameters and Internals

LLM NameEtherealAurora 12B V2
Repository 🤗https://huggingface.co/yamatazen/EtherealAurora-12B-v2 
Base Model(s)  EtherealAurora 12B   ...Nemo Instruct 2407 Abliterated   yamatazen/EtherealAurora-12B   natong19/Mistral-Nemo-Instruct-2407-abliterated
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-07-11
Maintaineryamatazen
Model Typemistral
Instruction-BasedYes
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
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.49.0
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 yamatazen/EtherealAurora-12B-v2.

Rank the EtherealAurora 12B V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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