huggingface/smollm

Health v2 · maintenance only

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Adoption not part of the score

3884 stars · 310 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Hugging Face's repository for the SmolLM and SmolVLM families of compact, fully open language and vision-language models, including training code, datasets, and local inference tools. It provides model weights, training recipes, and utilities for running small AI models on-device.

Use cases

• run a small language model on-device
• train my own small LLM with open data
• do visual question answering with a compact vision-language model
• find a lightweight alternative to Llama 3.2 3B
• run multimodal image and text inference locally
• learn how a small LLM was trained end to end

When to choose

• you need compact, fully open text or vision-language models with published training details
• you want on-device inference with small model sizes (135M to 3B)
• you want reproducible training recipes with public datasets

When to avoid

• you need frontier-scale model quality
• you want a turnkey hosted API rather than self-managed model weights
• you need non-Python or non-transformers integration

Facets

library · maturity active

llm-inference llm-training machine-learning deep-learning large-language-models machine-learning artificial-intelligence computer-vision python cross-platform small-language-models vision-language-models on-device-ai open-weights hugging-face multimodal gpu

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markdown · JSON · MCP: product_card(name="huggingface/smollm")