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Supernova Experimental by theNovaAI

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Supernova Experimental is an open-source language model by theNovaAI. Features: 13b LLM, VRAM: 26.1GB, Context: 4K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.14, Arc: 63.1, HellaSwag: 83.7, MMLU: 56.6, GSM8K: 28.7.

Base model:merge:pygmalionai/p... Base model:merge:undi95/amethy... Base model:pygmalionai/pygmali...   Base model:undi95/amethyst-13b   En   Llama   Merge   Mergekit   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/theNovaAI/Supernova-experimental 

Supernova Experimental Benchmarks

ARC: 63.05 vs 96.7 (so35)-34.8%
HellaSwag: 83.66 vs 95.3 (gpt4)-12.2%
MMLU: 56.59 vs 88.3 (so35)-35.9%
GSM8K: 28.73 vs 96.4 (so35)-70.2%
LLME Score: 0.14076
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Supernova Experimental (theNovaAI/Supernova-experimental)
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Supernova Experimental Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
chatting, some RP
LLM NameSupernova Experimental
Repository 🤗https://huggingface.co/theNovaAI/Supernova-experimental 
Base Model(s)  Pygmalion 2 13B   Amethyst 13B   PygmalionAI/pygmalion-2-13b   Undi95/Amethyst-13B
Model Size13b
Required VRAM26.1 GB
Updated2026-05-08
MaintainertheNovaAI
Model Typellama
Model Files  1.8 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   2.0 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   2.0 GB: 7-of-14   1.9 GB: 8-of-14   2.0 GB: 9-of-14   2.0 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.1 GB: 14-of-14   1.8 GB   2.0 GB   1.9 GB   1.9 GB   2.0 GB   1.9 GB   1.9 GB   2.0 GB   1.9 GB   2.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Supernova Experimental 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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