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SmolLM2 360M by HuggingFaceTB

 »  All LLMs  »  HuggingFaceTB  »  SmolLM2 360M   URL Share it on

  26864   
  Arxiv:2502.02737   Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-360M 

SmolLM2 360M Benchmarks

MMLU Pro: 1.88
MUSR: 7.73
BBH: 5.54
IFEval: 21.15 vs 88 (so35)-76%
MATH Lvl 5: 1.21
LLME Score: 0.32237
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 360M (HuggingFaceTB/SmolLM2-360M)

SmolLM2 360M Parameters and Internals

Model Type 
language model, instruction model
Use Cases 
Primary Use Cases:
text rewriting, summarization, function calling
Limitations:
Primarily understands and generates content in English, Generated content may not be factually accurate or logically consistent, Bias may be present in the training data
Considerations:
Use as assistive tools, always verify critical information
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
FineWeb-Edu, DCLM, The Stack
Data Volume:
4 trillion tokens
Methodology:
Supervised fine-tuning and Direct Preference Optimization (DPO)
Hardware Used:
64 H100 GPUs
Model Architecture:
Transformer decoder
Input Output 
Accepted Modalities:
text
LLM NameSmolLM2 360M
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-360M 
Model Size360m
Required VRAM0.7 GB
Updated2025-03-13
MaintainerHuggingFaceTB
Model Typellama
Model Files  0.7 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM2-360M.

Rank the SmolLM2 360M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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