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SmolLM2 1.7B by HuggingFaceTB

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  Autotrain compatible   En   Endpoints compatible   Ext 8k   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B 

SmolLM2 1.7B Benchmarks

MMLU Pro: 12.64
GPQA: 3.91
MUSR: 4.6
BBH: 9.3
IFEval: 24.4 vs 88 (so35)-72.3%
MATH Lvl 5: 2.11
LLME Score: 0.38196
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 1.7B (HuggingFaceTB/SmolLM2-1.7B)

SmolLM2 1.7B Parameters and Internals

Model Type 
language model
Use Cases 
Areas:
text rewriting, summarization, function calling
Applications:
research, commercial applications
Limitations:
Primarily understands and generates content in English., Generated content may not be factually accurate, logically consistent, or free from biases., Should be used as assistive tools rather than definitive sources of information.
Considerations:
Users should verify important information and critically evaluate any generated content.
Additional Notes 
The instruct version of the model is tuned to support tasks beyond standard language modeling.
Supported Languages 
en (primary)
Training Details 
Data Sources:
FineWeb-Edu, DCLM, The Stack, new mathematics dataset, coding dataset
Data Volume:
11 trillion tokens
Methodology:
Supervised fine-tuning (SFT), Direct Preference Optimization (DPO)
Hardware Used:
256 H100 GPUs
Model Architecture:
Transformer decoder
Input Output 
Accepted Modalities:
text
Performance Tips:
None specified.
LLM NameSmolLM2 1.7B
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B 
Model Size50b
Required VRAM3.4 GB
Updated2025-01-02
MaintainerHuggingFaceTB
Model Typellama
Model Files  3.4 GB
Supported Languagesen
Context Length8k
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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Rank the SmolLM2 1.7B 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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