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Reglu 100B by SparseLLM

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Reglu 100B is an open-source language model by SparseLLM. Features: 100b LLM, VRAM: 2.6GB, Context: 2K, License: llama2, LLM Explorer Score: 0.11.

  Arxiv:2402.03804   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/SparseLLM/reglu-100B 

Reglu 100B Benchmarks

LLME Score: 0.1108
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reglu 100B (SparseLLM/reglu-100B)
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Reglu 100B Parameters and Internals

Additional Notes 
The study focused on identifying efficient activation functions for sparse computation in large language models through experimentation with ReLU, SwiGLU, ReGLU, and Squared ReLU.
Training Details 
Data Sources:
Refinedweb, SlimPajama
Data Volume:
100 billion tokens
Hardware Used:
64xA100(80G)
LLM NameReglu 100B
Repository 🤗https://huggingface.co/SparseLLM/reglu-100B 
Model Size100b
Required VRAM2.6 GB
Updated2026-04-23
MaintainerSparseLLM
Model Typellama
Model Files  2.6 GB   2.6 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SparseLLM/reglu-100B.

Rank the Reglu 100B Capabilities

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Instruction Following and Task Automation  
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