SmolLM2

SmolLM2

Hugging Face
SmolVLM

SmolVLM

Hugging Face
+
+

Related Products

  • RaimaDB
    9 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • LM-Kit.NET
    23 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    373 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • ActCAD Software
    401 Ratings
    Visit Website
  • Windsurf Editor
    156 Ratings
    Visit Website
  • CLEAR
    1 Rating
    Visit Website
  • Boozang
    15 Ratings
    Visit Website

About

SmolLM2 is a collection of state-of-the-art, compact language models developed for on-device applications. The models in this collection range from 1.7B parameters to smaller 360M and 135M versions, designed to perform efficiently even on less powerful hardware. These models excel in text generation tasks and are optimized for real-time, low-latency applications, providing high-quality results across various use cases, including content creation, coding assistance, and natural language processing. SmolLM2's flexibility makes it a suitable choice for developers looking to integrate powerful AI into mobile devices, edge computing, and other resource-constrained environments.

About

SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI enthusiasts looking to integrate compact, high-performance language models into mobile apps, edge computing systems, or other devices with limited processing power

Audience

Developers, AI researchers, and businesses looking for a compact, high-performance model to handle multimodal tasks, including image-based data analysis, captioning, and story generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/collections/HuggingFaceTB/smollm2-6723884218bcda64b34d7db9

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct

Alternatives

BitNet

BitNet

Microsoft

Alternatives

SmolLM2

SmolLM2

Hugging Face
SmolVLM

SmolVLM

Hugging Face
Orpheus TTS

Orpheus TTS

Canopy Labs
Gemini Nano

Gemini Nano

Google
Magma

Magma

Microsoft
Pixtral Large

Pixtral Large

Mistral AI

Categories

Categories

Integrations

Hugging Face
RunPod

Integrations

Hugging Face
RunPod
Claim SmolLM2 and update features and information
Claim SmolLM2 and update features and information
Claim SmolVLM and update features and information
Claim SmolVLM and update features and information