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SmolLM2 360M Instruct by HuggingFaceTB

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SmolLM2 360M Instruct is an open-source language model by HuggingFaceTB. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

  Arxiv:2502.02737 Base model:huggingfacetb/smoll... Base model:quantized:huggingfa...   Conversational   En   Endpoints compatible   Instruct   Llama   Onnx   Region:us   Safetensors   Tensorboard   Transformers.js
Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct 

SmolLM2 360M Instruct Benchmarks

MMLU Pro: 1.3
GPQA: 0.67
MUSR: 2.77
BBH: 4.17
IFEval: 38.42 vs 88 (so35)-56.3%
MATH Lvl 5: 1.51
LLME Score: 0.30505
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)
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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 
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM0.7 GB
Updated2026-04-08
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
Likes
Downloads
VRAM
SmolLM2 360M Bnb 4bit218700 GB
SmolLM2 360M Instruct Bnb 4bit14750 GB

Best Alternatives to SmolLM2 360M Instruct

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Smollm3 720prms8K / 0.7 GB460
ProseFlow V1 360M Instruct8K / 0.7 GB80
SmolLM2 Rethink 360M8K / 1.4 GB71
SolaraV2 Coder 05118K / 0.7 GB51
BrainrotLM Assistant 362M8K / 0 GB70
SmolLM2 CoT 360M8K / 1.4 GB819
...n Combined Instruction Dataset8K / 1.4 GB71
... Cpt Fineweb Norwegian Nynorsk8K / 1.4 GB60
SmolLM2 360M Instruct Ita8K / 0.7 GB16050
SmolLM2 360M Instruct8K / 0.7 GB16414

Rank the SmolLM2 360M Instruct 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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