Llama 2 7B Privacy by ChrisPuzzo

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  Autotrain compatible   Dataset:sjsq/privacypolicy   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Llama 2 7B Privacy Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Privacy (ChrisPuzzo/llama-2-7b-privacy)

Llama 2 7B Privacy Parameters and Internals

Model Type 
text generation, Q&A, summarization
Use Cases 
Primary Use Cases:
Privacy Policy analysis and summarization
Additional Notes 
Model fine-tuned with the aim to analyze and summarize Privacy Policies; current results from testing are inconclusive.
Supported Languages 
en (primary language)
Training Details 
Data Sources:
sjsq/PrivacyPolicy
Methodology:
Fine-tuning using PEFT and QloRA
Release Notes 
Date:
2024-05-22
Notes:
README updated
LLM NameLlama 2 7B Privacy
Repository ๐Ÿค—https://huggingface.co/ChrisPuzzo/llama-2-7b-privacy 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerChrisPuzzo
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChrisPuzzo/llama-2-7b-privacy.

Rank the Llama 2 7B Privacy 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