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ReluFalcon 40B by SparseLLM

 »  All LLMs  »  SparseLLM  »  ReluFalcon 40B   URL Share it on

  6   
  Arxiv:2110.01786   Arxiv:2310.04564   Autotrain compatible   Custom code   En   Endpoints compatible   Falcon   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/SparseLLM/ReluFalcon-40B 

ReluFalcon 40B Benchmarks

LLME Score: 0.12251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReluFalcon 40B (SparseLLM/ReluFalcon-40B)
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ReluFalcon 40B Parameters and Internals

Model Type 
Sparse Computation, Sparse Large Language Model, ReLU Activation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
May produce inaccurate, biased or objectionable responses, Fine-tuning tested primarily in English, unknown results in other languages
Considerations:
Developers should perform safety testing and tuning before deploying applications of the model.
Additional Notes 
This is a fine-tuned version using ReLU activation to enhance sparse LLM efficiency.
Supported Languages 
English (tested)
Training Details 
Data Sources:
Wikipedia, Pile, StackOverflow
Data Volume:
5 billion tokens
Methodology:
Joint optimization on language modeling and knowledge distillation objectives. ReLU activation applied through fine-tuning techniques.
Hardware Used:
40x NVIDIA A100 GPUs with 80GB memory
Input Output 
Accepted Modalities:
text
LLM NameReluFalcon 40B
Repository 🤗https://huggingface.co/SparseLLM/ReluFalcon-40B 
Model Size40b
Required VRAM167.1 GB
Updated2025-09-23
MaintainerSparseLLM
Model Typefalcon
Model Files  9.2 GB: 1-of-18   9.8 GB: 2-of-18   9.2 GB: 3-of-18   9.8 GB: 4-of-18   9.2 GB: 5-of-18   9.8 GB: 6-of-18   9.2 GB: 7-of-18   9.8 GB: 8-of-18   9.2 GB: 9-of-18   9.8 GB: 10-of-18   9.2 GB: 11-of-18   9.8 GB: 12-of-18   9.2 GB: 13-of-18   9.8 GB: 14-of-18   9.2 GB: 15-of-18   9.8 GB: 16-of-18   9.2 GB: 17-of-18   5.9 GB: 18-of-18
Supported Languagesen
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.33.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than SparseLLM/ReluFalcon-40B.

Rank the ReluFalcon 40B 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 v20241124
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