Linux As A Model 32M by mjbommar

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  Autotrain compatible   En   Endpoints compatible   Gpl2   Linux   Llama   Mit   Region:us   Safetensors

Linux As A Model 32M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Linux As A Model 32M (mjbommar/linux-as-a-model-32M)

Linux As A Model 32M Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation
Additional Notes 
Model trained to demonstrate legal and ethical implications of training AI models on open-source data. The focus is on commenting the OSI's stance on 'open' models.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Linux version 1.0 source code
Model Architecture:
Llama2
LLM NameLinux As A Model 32M
Repository ๐Ÿค—https://huggingface.co/mjbommar/linux-as-a-model-32M 
Model Size32m
Required VRAM0.1 GB
Updated2025-06-01
Maintainermjbommar
Model Typellama
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length1024
Model Max Length1024
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size32769
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than mjbommar/linux-as-a-model-32M.

Rank the Linux As A Model 32M 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