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SmolLM3 3B Base by HuggingFaceTB

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Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM3-3B-Base 

SmolLM3 3B Base Benchmarks

LLME Score: 0.34832
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM3 3B Base (HuggingFaceTB/SmolLM3-3B-Base)
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SmolLM3 3B Base Parameters and Internals

LLM NameSmolLM3 3B Base
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM3-3B-Base 
Model Size3b
Required VRAM6.2 GB
Updated2025-10-09
MaintainerHuggingFaceTB
Model Typesmollm3
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen fr es it pt zh ar ru
Model ArchitectureSmolLM3ForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.53.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the SmolLM3 3B Base

Model
Likes
Downloads
VRAM
...olLM3 3B Base Unsloth Bnb 4bit2142 GB

Best Alternatives to SmolLM3 3B Base

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM3 3B 128K128K / 6.2 GB240
SmolLM3 3B64K / 6.2 GB80327710
SmolLM3 3B64K / 6.2 GB4975
EMOTRON 3B64K / 6.2 GB90
SmolLM3 3B Base64K / 6.2 GB263
SmolLM3 3B Bf1664K / 6.1 GB222
Petite Elle L Aime 3 Sft4K / 6.2 GB131
SmolLM3 3B 4bit64K / 1.7 GB21974
SmolLM3 3B Unsloth Bnb 4bit64K / 2.1 GB1322
SmolLM3 3B 8bit64K / 3.3 GB946
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM3-3B-Base.

Rank the SmolLM3 3B Base Capabilities

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Instruction Following and Task Automation  
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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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