Laguna XS.2

Laguna XS.2

Poolside
SmolLM2

SmolLM2

Hugging Face
+
+

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About

Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, coding-agent builders, and teams who need a fast model for agentic coding, rapid iteration, fine-tuning, quantization, and API-based development workflows

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
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

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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

Poolside
Founded: 2023
United States
www.poolside.ai/models

Company Information

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

Alternatives

Alternatives

BitNet

BitNet

Microsoft
Devstral Small 2

Devstral Small 2

Mistral AI
Orpheus TTS

Orpheus TTS

Canopy Labs
Laguna M.1

Laguna M.1

Poolside
Poolside

Poolside

Poolside.ai
Gemini Nano

Gemini Nano

Google

Categories

Categories

Integrations

Hugging Face
Agent Client Protocol (ACP)
Claude Code
Cline
IntelliJ IDEA
Kilo Code
Locally AI
Mirai
Nous Portal
Ollama
OpenClaw
OpenCode
OpenRouter
Poolside
Private Mind
Roo Code
Runpod
Visual Studio
Visual Studio Code
Zed

Integrations

Hugging Face
Agent Client Protocol (ACP)
Claude Code
Cline
IntelliJ IDEA
Kilo Code
Locally AI
Mirai
Nous Portal
Ollama
OpenClaw
OpenCode
OpenRouter
Poolside
Private Mind
Roo Code
Runpod
Visual Studio
Visual Studio Code
Zed
Claim Laguna XS.2 and update features and information
Claim Laguna XS.2 and update features and information
Claim SmolLM2 and update features and information
Claim SmolLM2 and update features and information