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Llama 3.1 8B Instruct by jebish7

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  Arxiv:2204.05149 Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   De   En   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/jebish7/Llama-3.1-8B-Instruct 

Llama 3.1 8B Instruct Benchmarks

MMLU Pro: 30.86
GPQA: 9.51
MUSR: 8.51
BBH: 29.19
IFEval: 50.58 vs 88 (so35)-42.5%
MATH Lvl 5: 15.48
LLME Score: 0.29643
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.1 8B Instruct Parameters and Internals

LLM NameLlama 3.1 8B Instruct
Repository 🤗https://huggingface.co/jebish7/Llama-3.1-8B-Instruct 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-06-11
Maintainerjebish7
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
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 8B Instruct (jebish7/Llama-3.1-8B-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than jebish7/Llama-3.1-8B-Instruct.

Rank the Llama 3.1 8B Instruct 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 v20241124
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