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Penny Llama3 2x8b by giannisan

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  Autotrain compatible   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Penny Llama3 2x8b Benchmarks

ARC: 62.8 vs 96.7 (so35)-35.1%
HellaSwag: 83.6 vs 95.3 (gpt4)-12.3%
MMLU: 65.95 vs 88.3 (so35)-25.3%
TruthfulQA: 50.41 vs 59 (gpt4)-14.6%
WinoGrande: 77.27 vs 87.5 (gpt4)-11.7%
GSM8K: 58.68 vs 96.4 (so35)-39.1%
LLME Score: 0.23395
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Penny Llama3 2x8b Parameters and Internals

LLM NamePenny Llama3 2x8b
Repository 🤗https://huggingface.co/giannisan/penny-llama3-2x8b 
Model Size13.7b
Required VRAM27.3 GB
Updated2024-09-07
Maintainergiannisan
Model Typemixtral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Penny Llama3 2x8b (giannisan/penny-llama3-2x8b)

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Note: green Score (e.g. "73.2") means that the model is better than giannisan/penny-llama3-2x8b.

Rank the Penny Llama3 2x8b 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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