Prosparse Llama 2 7B by SparseLLM

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  Arxiv:2310.04564   Arxiv:2312.12456   Arxiv:2402.03804   Arxiv:2402.13516   Custom code   En   Feature-extraction   Region:us   Safetensors   Sharded   Sparsellama   Tensorflow

Prosparse Llama 2 7B Benchmarks

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

Prosparse Llama 2 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
ProSparse models achieve high activation sparsity without performance degradation compared to original models.
Training Details 
Data Sources:
StarCoder, Wikipedia, Pile, Other collected datasets, UltraChat, P3, PAQ, Unnatural Instructions, Flan, Super-Natural Instructions, Other collected datasets
Data Volume:
34.60 billion tokens
Methodology:
ProSparse method, Activation Function Substitution, Progressive Sparsity Regularization, Activation Threshold Shifting
Hardware Used:
8 A100 GPUs
Input Output 
Accepted Modalities:
text
LLM NameProsparse Llama 2 7B
Repository ๐Ÿค—https://huggingface.co/SparseLLM/prosparse-llama-2-7b 
Model Size7b
Required VRAM27.1 GB
Updated2025-02-22
MaintainerSparseLLM
Model Typesparsellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagesen
Model ArchitectureSparseLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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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