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SmolLM2 135M by HuggingFaceTB

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-135M 

SmolLM2 135M Benchmarks

MMLU Pro: 1.05
MUSR: 10.03
BBH: 3.71
IFEval: 18.33 vs 88 (so35)-79.2%
MATH Lvl 5: 0.23
LLME Score: 0.37087
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 135M (HuggingFaceTB/SmolLM2-135M)

SmolLM2 135M Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
On-device computing, Instruction following
Applications:
Summarization, Text rewriting, Function calling
Primary Use Cases:
English content generation, Instruction following
Limitations:
Models primarily understand and generate English., Content may not be factually accurate or logically consistent., Presence of biases inherent to training data.
Considerations:
Models are assistive tools and should not be used as definitive information sources.
Additional Notes 
Memory footprint of the 135M model is 723.56 MB when loaded.
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
FineWeb-Edu, DCLM, The Stack, UltraFeedback
Data Volume:
2 trillion tokens
Methodology:
Direct Preference Optimization (DPO), Supervised Fine-tuning (SFT)
Context Length:
8000
Hardware Used:
64 H100 GPUs
Model Architecture:
Transformer decoder
Input Output 
Input Format:
Token sequences encoded with a tokenizer
Accepted Modalities:
text
Output Format:
Generated token sequences
Performance Tips:
Use multiple GPUs and specific precision settings (e.g., bfloat16) for optimal performance
LLM NameSmolLM2 135M
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-135M 
Model Size135m
Required VRAM0.3 GB
Updated2025-02-05
MaintainerHuggingFaceTB
Model Typellama
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typebfloat16

Quantized Models of the SmolLM2 135M

Model
Likes
Downloads
VRAM
SmolLM2 135M Bnb 4bit14140 GB

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Rank the SmolLM2 135M 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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