SmolLM2

SmolLM2

Hugging Face
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About

GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.

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.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

Developers and researchers looking for a tool providing a vision-language model for multimodal tasks

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Z.ai
Founded: 2023
China
chat.z.ai/

Company Information

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

Alternatives

MiMo-V2.6-Flash

MiMo-V2.6-Flash

Xiaomi Technology

Alternatives

BitNet

BitNet

Microsoft
GLM-4.5V

GLM-4.5V

Z.ai
Gemini Nano

Gemini Nano

Google
Qwen3.5

Qwen3.5

Alibaba
MiniMax M3

MiniMax M3

MiniMax

Categories

Categories

AI Coding Models Supported
AI Models Supported

Integrations

Claude Code Supported
Cline Supported
Hugging Face Not Supported
Kilo Code Supported
Locally AI Not Supported
Mirai Not Supported
OpenRouter Supported
Private Mind Not Supported
Roo Code Supported
Runpod Not Supported
Sup AI Supported

Integrations

Claude Code Not Supported
Cline Not Supported
Hugging Face Supported
Kilo Code Not Supported
Locally AI Supported
Mirai Supported
OpenRouter Not Supported
Private Mind Supported
Roo Code Not Supported
Runpod Supported
Sup AI Not Supported
Claim GLM-4.5V-Flash and update features and information
Claim GLM-4.5V-Flash and update features and information
Claim SmolLM2 and update features and information
Claim SmolLM2 and update features and information