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Wizard Vicuna 13B Juniper by frank098

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded   Uncensored

Wizard Vicuna 13B Juniper Benchmarks

ARC: 55.89 vs 96.7 (so35)-42.2%
HellaSwag: 79.75 vs 95.3 (gpt4)-16.3%
MMLU: 44.99 vs 88.3 (so35)-49%
TruthfulQA: 54.72 vs 59 (gpt4)-7.3%
WinoGrande: 72.69 vs 87.5 (gpt4)-16.9%
GSM8K: 7.28 vs 96.4 (so35)-92.4%
LLME Score: 0.17578
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Wizard Vicuna 13B Juniper Parameters and Internals

LLM NameWizard Vicuna 13B Juniper
Repository 🤗https://huggingface.co/frank098/Wizard-Vicuna-13B-juniper 
Model Size13b
Required VRAM52.1 GB
Updated2024-09-07
Maintainerfrank098
Model Typellama
Model Files  10.0 GB: 1-of-6   9.9 GB: 2-of-6   9.9 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   2.5 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
Wizard Vicuna 13B Juniper (frank098/Wizard-Vicuna-13B-juniper)

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Note: green Score (e.g. "73.2") means that the model is better than frank098/Wizard-Vicuna-13B-juniper.

Rank the Wizard Vicuna 13B Juniper 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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