Meta Llama 3.1 8B Instruct PL Finetuned by Remek

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Meta Llama 3.1 8B Instruct PL Finetuned Benchmarks

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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Meta Llama 3.1 8B Instruct PL Finetuned Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct PL Finetuned
Repository ๐Ÿค—https://huggingface.co/Remek/Meta-Llama-3.1-8B-Instruct-PL-finetuned 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerRemek
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3.1 8B Instruct PL Finetuned (Remek/Meta-Llama-3.1-8B-Instruct-PL-finetuned)

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

Rank the Meta Llama 3.1 8B Instruct PL Finetuned 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124