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Hypernova Experimental by theNovaAI

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  Autotrain compatible Base model:finetune:gryphe/myt... Base model:gryphe/mythomax-l2-...   En   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/theNovaAI/Hypernova-experimental 

Hypernova Experimental Benchmarks

ARC: 61.43 vs 96.7 (so35)-36.5%
HellaSwag: 83.64 vs 95.3 (gpt4)-12.2%
MMLU: 55.49 vs 88.3 (so35)-37.2%
TruthfulQA: 51.38 vs 59 (gpt4)-12.9%
WinoGrande: 75.3 vs 87.5 (gpt4)-13.9%
GSM8K: 26.23 vs 96.4 (so35)-72.8%
LLME Score: 0.20659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hypernova Experimental (theNovaAI/Hypernova-experimental)

Hypernova Experimental Parameters and Internals

Model Type 
chatbot, roleplay
Additional Notes 
Good at chatting and some role-play scenarios, but can mix up characters and sometimes struggle with context.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Emerald-13B, MythoMax-L2-13b
Methodology:
Merge of models with additional finetuning
Input Output 
Input Format:
Prompt Template: Alpaca
Output Format:
Appropriate response to task description
LLM NameHypernova Experimental
Repository 🤗https://huggingface.co/theNovaAI/Hypernova-experimental 
Base Model(s)  Emerald 13B   MythoMax L2 13B   Undi95/Emerald-13B   Gryphe/MythoMax-L2-13b
Model Size13b
Required VRAM26 GB
Updated2025-02-05
MaintainertheNovaAI
Model Typellama
Model Files  1.9 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   1.9 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   1.9 GB: 9-of-14   1.9 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.3 GB: 14-of-14
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Hypernova 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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Release v20241227
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