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SmolLM2 360M Instruct by HuggingFaceTB

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Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct 

SmolLM2 360M Instruct Benchmarks

MMLU Pro: 1.4
GPQA: 2.01
MUSR: 2.75
BBH: 3.3
IFEval: 8.3 vs 88 (so35)-90.6%
MATH Lvl 5: 0.83
LLME Score: 0.38038
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 360M Instruct (HuggingFaceTB/SmolLM2-360M-Instruct)

SmolLM2 360M Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Primarily understands and generates English, Generated content may not always be factually accurate, May not be logically consistent or free from biases
Considerations:
Should be used as assistive tools; verify important information.
Supported Languages 
en (High)
Training Details 
Data Sources:
FineWeb-Edu, DCLM, The Stack, Custom curated datasets
Data Volume:
4T tokens
Methodology:
Supervised fine-tuning with Direct Preference Optimization using UltraFeedback
Hardware Used:
64 H100 GPUs
Model Architecture:
Transformer decoder
Input Output 
Input Format:
Input chat template through tokenizer
Accepted Modalities:
text
Output Format:
Generated text responses
Performance Tips:
Utilize GPUs for optimal performance.
LLM NameSmolLM2 360M Instruct
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct 
Model Size360m
Required VRAM0.7 GB
Updated2024-12-08
MaintainerHuggingFaceTB
Model Typellama
Instruction-BasedYes
Model Files  0.7 GB   0.0 GB
Supported Languagesen
Context Length8k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

Quantized Models of the SmolLM2 360M Instruct

Model
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VRAM
SmolLM2 360M Instruct Bnb 4bit02160 GB

Best Alternatives to SmolLM2 360M Instruct

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SmolLM2 360M Instruct Bnb 4bit8K / 0.3 GB2160
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Rank the SmolLM2 360M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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