Smol, multilingual, long-context reasoner
AI & ML interests
Exploring smol models (for text, vision and video) and high quality web and synthetic datasets
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Papers
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Datasets to decontaminate the post-training mixtures against. Use the subset and column values described per entry
State-of-the-art compact LLMs for on-device applications: 1.7B, 360M, 135M
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HuggingFaceTB/SmolLM2-1.7B-Instruct
Text Generation • 2B • Updated • 175k • 753 -
HuggingFaceTB/SmolLM2-1.7B
Text Generation • 2B • Updated • 355k • 159 -
HuggingFaceTB/SmolLM2-360M-Instruct
Text Generation • 0.4B • Updated • 296k • 219 -
HuggingFaceTB/SmolLM2-360M
Text Generation • 0.4B • Updated • 470k • 127
A collection of datasets for LLM pretraining
Collection for models & demos for even smoller SmolVLM release
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HuggingFaceTB/SmolVLM-256M-Instruct
Image-Text-to-Text • 0.3B • Updated • 483k • 402 -
HuggingFaceTB/SmolVLM-500M-Instruct
Image-Text-to-Text • 0.5B • Updated • 98.6k • 197 -
SmolVLM
📊68Generate descriptions from images and text prompts
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HuggingFaceTB/SmolVLM-256M-Base
Image-Text-to-Text • 0.3B • Updated • 1.11k • 24
SmolLM models in MLC, ONNX and GGUF format for local applications + in-browser demos
datasets used in SmolLM3 pretraining
State-of-the-art compact VLMs for on-device applications: Base, Synthetic, and Instruct. Check our blog: https://huggingface.co/blog/smolvlm
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HuggingFaceTB/SmolVLM-Instruct
Image-Text-to-Text • 2B • Updated • 30.7k • 597 -
HuggingFaceTB/SmolVLM-Base
Image-Text-to-Text • 2B • Updated • 4.82k • 91 -
HuggingFaceTB/SmolVLM-Synthetic
Image-Text-to-Text • 2B • Updated • 147 • 12 -
HuggingFaceTB/SmolVLM-Instruct-DPO
Image-Text-to-Text • Updated • 32 • 22
🔥 15 classifiers, 124M parameters, one per programming language— for assessing the educational value of GitHub code
FineMath datasets and ablation models
A series of smol LLMs: 135M, 360M and 1.7B. We release base and Instruct models as well as the training corpus and some WebGPU demos
Resources for Cosmopedia dataset
Smol, multilingual, long-context reasoner
datasets used in SmolLM3 pretraining
Datasets to decontaminate the post-training mixtures against. Use the subset and column values described per entry
State-of-the-art compact LLMs for on-device applications: 1.7B, 360M, 135M
-
HuggingFaceTB/SmolLM2-1.7B-Instruct
Text Generation • 2B • Updated • 175k • 753 -
HuggingFaceTB/SmolLM2-1.7B
Text Generation • 2B • Updated • 355k • 159 -
HuggingFaceTB/SmolLM2-360M-Instruct
Text Generation • 0.4B • Updated • 296k • 219 -
HuggingFaceTB/SmolLM2-360M
Text Generation • 0.4B • Updated • 470k • 127
A collection of datasets for LLM pretraining
State-of-the-art compact VLMs for on-device applications: Base, Synthetic, and Instruct. Check our blog: https://huggingface.co/blog/smolvlm
-
HuggingFaceTB/SmolVLM-Instruct
Image-Text-to-Text • 2B • Updated • 30.7k • 597 -
HuggingFaceTB/SmolVLM-Base
Image-Text-to-Text • 2B • Updated • 4.82k • 91 -
HuggingFaceTB/SmolVLM-Synthetic
Image-Text-to-Text • 2B • Updated • 147 • 12 -
HuggingFaceTB/SmolVLM-Instruct-DPO
Image-Text-to-Text • Updated • 32 • 22
🔥 15 classifiers, 124M parameters, one per programming language— for assessing the educational value of GitHub code
Collection for models & demos for even smoller SmolVLM release
-
HuggingFaceTB/SmolVLM-256M-Instruct
Image-Text-to-Text • 0.3B • Updated • 483k • 402 -
HuggingFaceTB/SmolVLM-500M-Instruct
Image-Text-to-Text • 0.5B • Updated • 98.6k • 197 -
SmolVLM
📊68Generate descriptions from images and text prompts
-
HuggingFaceTB/SmolVLM-256M-Base
Image-Text-to-Text • 0.3B • Updated • 1.11k • 24
FineMath datasets and ablation models
SmolLM models in MLC, ONNX and GGUF format for local applications + in-browser demos
A series of smol LLMs: 135M, 360M and 1.7B. We release base and Instruct models as well as the training corpus and some WebGPU demos
Resources for Cosmopedia dataset