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StarDust 12B V2 by Luni

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StarDust 12B V2 Benchmarks

LLME Score: 0.34136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StarDust 12B V2 Parameters and Internals

LLM NameStarDust 12B V2
Repository 🤗https://huggingface.co/Luni/StarDust-12b-v2 
Base Model(s)  Mistral Nemo Bophades 12B   Magnum V2 12B   MN 12B Lyra V3   Gryphe/Pantheon-RP-1.6-12b-Nemo   nbeerbower/mistral-nemo-bophades-12B   anthracite-org/magnum-v2-12b   Sao10K/MN-12B-Lyra-v3   Gryphe/Pantheon-RP-1.6-12b-Nemo
Model Size12b
Required VRAM24.5 GB
Updated2024-09-08
MaintainerLuni
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
StarDust 12B V2 (Luni/StarDust-12b-v2)

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Romulus Mistral Nemo 12B Simpo1000K / 24.5 GB82811
Nemomix V4.0 12B1000K / 24.5 GB20320
Pantheon RP 1.5 12B Nemo1000K / 24.5 GB15627
MN 12B Lyra V31000K / 24.4 GB31530
Magnum V2 12B1000K / 24.5 GB180862
Note: green Score (e.g. "73.2") means that the model is better than Luni/StarDust-12b-v2.

Rank the StarDust 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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