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Sandboxlm by sivang

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Sandboxlm is an open-source language model by sivang. Features: 124.4m LLM, VRAM: 0.5GB, License: gpl-3.0, LLM Explorer Score: 0.15.

  En   Endpoints compatible   Gpt2   Language-model   Region:us   Safetensors   Security   Shell
Model Card on HF 🤗: https://huggingface.co/sivang/sandboxlm 

Sandboxlm Benchmarks

LLME Score: 0.14729
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sandboxlm (sivang/sandboxlm)
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Sandboxlm Parameters and Internals

Model Type 
language model, text generation
Use Cases 
Areas:
security advisory tasks, identifying shell command risks
Limitations:
may not catch all edge cases or obscure security risks
Considerations:
Recommended to combine with other security measures.
Additional Notes 
The model is optimized for CPU inference.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
curated synthetic dataset
Methodology:
fine-tuning
Model Architecture:
Transformer-based, specifically GPT-2
Input Output 
Output Format:
JSON
LLM NameSandboxlm
Repository 🤗https://huggingface.co/sivang/sandboxlm 
Model Size124.4m
Required VRAM0.5 GB
Updated2026-05-21
Maintainersivang
Model Typegpt2
Model Files  0.5 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensegpl-3.0
Model Max Length1024
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sivang/sandboxlm.

Rank the Sandboxlm Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20260328a
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