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SuperHeartBerg by Aryanne

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  Autotrain compatible   Base model:aryanne/superheart Base model:merge:aryanne/super... Base model:merge:nbeerbower/ll... Base model:nbeerbower/llama3.1...   Conversational   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aryanne/SuperHeartBerg 

SuperHeartBerg Benchmarks

LLME Score: 0.22127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SuperHeartBerg (Aryanne/SuperHeartBerg)

SuperHeartBerg Parameters and Internals

LLM NameSuperHeartBerg
Repository 🤗https://huggingface.co/Aryanne/SuperHeartBerg 
Base Model(s)  SuperHeart   nbeerbower/llama3.1-gutenberg-8B   Aryanne/SuperHeart   nbeerbower/llama3.1-gutenberg-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerAryanne
Model Typellama
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aryanne/SuperHeartBerg.

Rank the SuperHeartBerg 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 v20241227
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