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SmolVLM2

SmolVLM2

Smallest Video LM Ever from HuggingFace

Website huggingface.co
Overview

What it is

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Intent

I need it when

Reduce model size and inference latency while maintaining performance for edge deployment

SmolVLM2's compact architecture fits the 'smol' design philosophy of Hugging Face, allowing efficient inference on resource-constrained devices. The model integrates with optimization tools like Quantization and PEFT for parameter-efficient fine-tuning, reducing memory footprint and inference time.

Integrate vision-language capabilities into production applications with managed inference

Hugging Face Inference Endpoints provide dedicated, fully-managed infrastructure to serve SmolVLM2 at scale. Users can deploy with automatic scaling, monitoring, and API access without managing servers, starting at $0.60/hour for GPU compute.

Build and deploy vision-language models for multimodal AI applications

SmolVLM2 is a compact vision-language model available on Hugging Face Hub that enables developers to create multimodal applications combining text and image understanding. Users can download the model, fine-tune it using Transformers library, and deploy via Inference Endpoints or Spaces for production use.

Collaborate on open-source AI model development with community contributions

Hugging Face Hub provides Git-based collaboration, model cards, discussions, and pull requests for SmolVLM2. Teams can share improvements, track versions, and build on the model collectively through the platform's open-source infrastructure.

Access pre-trained vision-language models without training from scratch

SmolVLM2 is available as a pre-trained checkpoint on Hugging Face Hub, eliminating the need for expensive training. Users can immediately use it for inference or adapt it to specific tasks through transfer learning with minimal computational overhead.

Drop

Not a fit when

  • User requires proprietary, closed-source model infrastructure without open-source alternatives
  • Organization needs on-premise deployment with zero cloud connectivity requirements
  • User seeks commercial support guarantees for production systems without enterprise plan commitment
  • Project requires real-time inference with sub-100ms latency on resource-constrained edge devices
  • User needs pre-built domain-specific models without customization or fine-tuning capability
Commercials

Pricing

USD0 - USD50 / monthly View pricing