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
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 • 316k • 346 -
HuggingFaceTB/SmolVLM-500M-Instruct
Image-Text-to-Text • 0.5B • Updated • 47k • 192 -
SmolVLM
📊66Generate descriptions from images and text prompts
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HuggingFaceTB/SmolVLM-256M-Base
Image-Text-to-Text • 0.3B • Updated • 2.48k • 22
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 • 29.6k • 583 -
HuggingFaceTB/SmolVLM-Base
Image-Text-to-Text • 2B • Updated • 1.11k • 87 -
HuggingFaceTB/SmolVLM-Synthetic
Image-Text-to-Text • 2B • Updated • 29 • 12 -
HuggingFaceTB/SmolVLM-Instruct-DPO
Image-Text-to-Text • Updated • 18 • 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
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 • 29.6k • 583 -
HuggingFaceTB/SmolVLM-Base
Image-Text-to-Text • 2B • Updated • 1.11k • 87 -
HuggingFaceTB/SmolVLM-Synthetic
Image-Text-to-Text • 2B • Updated • 29 • 12 -
HuggingFaceTB/SmolVLM-Instruct-DPO
Image-Text-to-Text • Updated • 18 • 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 • 316k • 346 -
HuggingFaceTB/SmolVLM-500M-Instruct
Image-Text-to-Text • 0.5B • Updated • 47k • 192 -
SmolVLM
📊66Generate descriptions from images and text prompts
-
HuggingFaceTB/SmolVLM-256M-Base
Image-Text-to-Text • 0.3B • Updated • 2.48k • 22
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