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ReluLLaMA 7B by SparseLLM

 »  All LLMs  »  SparseLLM  »  ReluLLaMA 7B   URL Share it on

  412   
  Arxiv:2110.01786   Arxiv:2310.04564   Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SparseLLM/ReluLLaMA-7B 

ReluLLaMA 7B Benchmarks

LLME Score: 0.15225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReluLLaMA 7B (SparseLLM/ReluLLaMA-7B)

ReluLLaMA 7B Parameters and Internals

Model Type 
Text Generation
Use Cases 
Limitations:
Model carries risks such as producing inaccurate, biased or objectionable responses. Testing has been conducted primarily in English.
Considerations:
Developers should perform safety testing and tuning tailored to their specific applications.
Training Details 
Data Sources:
Wikipedia, Pile, StackOverflow
Data Volume:
5 billion tokens
Methodology:
Joint optimization on the conventional language modeling objective and the knowledge distillation objective. The student model is the ReLU-activated version.
Hardware Used:
8xA100(80G)
LLM NameReluLLaMA 7B
Repository 🤗https://huggingface.co/SparseLLM/ReluLLaMA-7B 
Model Size7b
Required VRAM27 GB
Updated2025-03-25
MaintainerSparseLLM
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than SparseLLM/ReluLLaMA-7B.

Rank the ReluLLaMA 7B 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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Release v20241227
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