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Smol Lm2 360 Instruct by Aravindan

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Smol Lm2 360 Instruct is an open-source language model by Aravindan. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

  Ai-security Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Cybersecurity Dataset:trendyol/trendyol-cybe...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Smollm2
Model Card on HF 🤗: https://huggingface.co/Aravindan/smol-lm2-360-instruct 

Smol Lm2 360 Instruct Benchmarks

LLME Score: 0.32881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smol Lm2 360 Instruct (Aravindan/smol-lm2-360-instruct)
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Smol Lm2 360 Instruct Parameters and Internals

LLM NameSmol Lm2 360 Instruct
Repository 🤗https://huggingface.co/Aravindan/smol-lm2-360-instruct 
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM0.7 GB
Updated2026-07-07
MaintainerAravindan
Model Typellama
Instruction-BasedYes
Model Files  0.7 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version5.12.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Errorsreplace

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Rank the Smol Lm2 360 Instruct 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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