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StarDust 12B V1 by Luni

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StarDust 12B V1 Benchmarks

LLME Score: 0.30391
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StarDust 12B V1 Parameters and Internals

LLM NameStarDust 12B V1
Repository 🤗https://huggingface.co/Luni/StarDust-12b-v1 
Base Model(s)  Gryphe/Pantheon-RP-1.6-12b-Nemo   MN 12B Lyra V3   anthracite-org/magnum-v2.5-12b-kto   Mistral Nemo Bophades 12B   Gryphe/Pantheon-RP-1.6-12b-Nemo   Sao10K/MN-12B-Lyra-v3   anthracite-org/magnum-v2.5-12b-kto   nbeerbower/mistral-nemo-bophades-12B
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
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 V1 (Luni/StarDust-12b-v1)

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Mini Magnum 12B V1.11000K / 24.5 GB29770
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
StarDust 12B V21000K / 24.5 GB14519
Note: green Score (e.g. "73.2") means that the model is better than Luni/StarDust-12b-v1.

Rank the StarDust 12B V1 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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Release v2024072803
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