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Llama 3.1 Mini Instruct by QuietImpostor

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Llama 3.1 Mini Instruct Benchmarks

LLME Score: 0.24707
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3.1 Mini Instruct Parameters and Internals

LLM NameLlama 3.1 Mini Instruct
Repository 🤗https://huggingface.co/QuietImpostor/Llama-3.1-Mini-Instruct 
Model Size3b
Required VRAM6.1 GB
Updated2024-09-16
MaintainerQuietImpostor
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_247|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3.1 Mini Instruct (QuietImpostor/Llama-3.1-Mini-Instruct)

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

Rank the Llama 3.1 Mini 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 v2024072803
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