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MobileLLM 125M by facebook

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  917   
  Arxiv:2402.14905   Autotrain compatible   Custom code   En   Mobilellm   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/facebook/MobileLLM-125M 

MobileLLM 125M Benchmarks

LLME Score: 0.26008
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MobileLLM 125M (facebook/MobileLLM-125M)

MobileLLM 125M Parameters and Internals

Model Type 
auto-regressive language model
Training Details 
Data Sources:
Publicly available online data.
Data Volume:
1T tokens
Context Length:
2000
Hardware Used:
32 NVIDIA A100 80G GPUs
Model Architecture:
MobileLLM is an auto-regressive language model leveraging an optimized transformer architecture, specifically engineered for on-device applications with constrained resources.
Input Output 
Input Format:
Text
Output Format:
Text
LLM NameMobileLLM 125M
Repository 🤗https://huggingface.co/facebook/MobileLLM-125M 
Model Size125m
Required VRAM0.2 GB
Updated2025-04-30
Maintainerfacebook
Model Typemobilellm
Model Files  0.2 GB   0.2 GB
Model ArchitectureMobileLLMForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Rank the MobileLLM 125M 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
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