Meta Llama 3.1 8B Instruct by unsloth

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Meta Llama 3.1 8B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 8B Instruct (unsloth/Meta-Llama-3.1-8B-Instruct)

Meta Llama 3.1 8B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, chatbot development
Primary Use Cases:
finetuning for specific tasks
Limitations:
unsuitable for real-time applications
Considerations:
Requires substantial computational resources.
Input Output 
Input Format:
text input for language generation finetuning
Accepted Modalities:
text
Output Format:
text output
Performance Tips:
Optimize model parameters for intended tasks for best performance.
LLM NameMeta Llama 3.1 8B Instruct
Repository ๐Ÿค—https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-12-14
Maintainerunsloth
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
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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

Rank the Meta 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124