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Meta Llama 3 8B Instruct Survey by jotaefecueme2

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  12   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jotaefecueme2/Meta-Llama-3-8B-Instruct-survey 

Meta Llama 3 8B Instruct Survey Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.18886
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Survey (jotaefecueme2/Meta-Llama-3-8B-Instruct-survey)

Meta Llama 3 8B Instruct Survey Parameters and Internals

LLM NameMeta Llama 3 8B Instruct Survey
Repository 🤗https://huggingface.co/jotaefecueme2/Meta-Llama-3-8B-Instruct-survey 
Base Model(s)  Meta Llama 3 8B Instruct   henrybit/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintainerjotaefecueme2
Model Typellama
Instruction-BasedYes
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   4.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jotaefecueme2/Meta-Llama-3-8B-Instruct-survey.

Rank the Meta Llama 3 8B Instruct Survey 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 v20241227
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