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Self Seq Meta Llama 3 8B Wizardlm by simonycl

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Self Seq Meta Llama 3 8B Wizardlm Benchmarks

LLME Score: 0.21182
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Self Seq Meta Llama 3 8B Wizardlm Parameters and Internals

LLM NameSelf Seq Meta Llama 3 8B Wizardlm
Repository 🤗https://huggingface.co/simonycl/self-seq-Meta-Llama-3-8B-wizardlm 
Model Size8b
Required VRAM16.1 GB
Updated2024-10-11
Maintainersimonycl
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Self Seq Meta Llama 3 8B Wizardlm (simonycl/self-seq-Meta-Llama-3-8B-wizardlm)

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Note: green Score (e.g. "73.2") means that the model is better than simonycl/self-seq-Meta-Llama-3-8B-wizardlm.

Rank the Self Seq Meta Llama 3 8B Wizardlm 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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