FreeAPIHub
HomeAPIsAI ModelsAI ToolsBlog
Favorites
FreeAPIHub

The central hub for discovering, testing, and integrating the world's best AI models and APIs.

Platform

  • Categories
  • AI Models
  • APIs

Company

  • About Us
  • Contact
  • FAQ

Help

  • Terms of Service
  • Privacy Policy
  • Cookies

© 2026 FreeAPIHub. All rights reserved.

GitHubTwitterLinkedIn
  1. Home
  2. AI Models
  3. Natural Language Processing
  4. StableLM 3.5
freemiumllm

StableLM 3.5

Tiny 3B LLM that runs on a laptop CPU — fast, private, multilingual

Developed by Stability AI

Try Model
1.6B / 3BParams
YesAPI
stableStability
StableLM 3.5Version
Stability AI Community LicenseLicense
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Help me write a friendly 2-line message to remind my team about tomorrow's standup at 9 AM.

Model Output

model response
Hey team — quick reminder, our standup is tomorrow at 9 AM sharp. Come ready to share what you're working on and any blockers. See you there! ☕

Examples

Real-World Applications

  • Offline AI assistants
  • mobile chatbots
  • browser AI tools
  • edge-device assistants
  • on-device document Q&A
  • embedded desktop helpers
  • educational tools.

Docs

Model Intelligence & Architecture

What is StableLM 3.5?

StableLM 3.5 is the latest generation of Stability AI's compact open-source language model series, with the StableLM family first released in April 2023. The 3.5 series brings dramatic improvements in reasoning, coding, and multilingual support over earlier StableLM 1, 2, and 3 versions.

StableLM is released under the Stability AI Community License, free for individuals and small businesses (under $1M annual revenue) and through Enterprise licensing for larger organizations.

Why StableLM Is Trending in 2026

As demand for tiny, fast, on-device AI grows, StableLM 3.5 has become popular among indie developers building privacy-first local AI tools. Its 3B size sweet spot makes it fast enough for real-time chat on consumer hardware while still delivering surprisingly strong reasoning.

Key Features and Capabilities

StableLM 3.5 supports multi-turn dialogue, code generation, instruction following, multilingual reasoning (10+ languages), and a 4K-16K context window. Optimized for CPU inference via GGUF quantization.

Who Should Use StableLM 3.5?

StableLM 3.5 is built for indie developers, mobile app builders, privacy-focused teams, edge-AI engineers, and hobbyists who want a lightweight model that runs everywhere.

Top Use Cases

Real-world applications include offline AI assistants, mobile chatbot apps, browser-based AI tools, edge-device assistants, on-device document Q&A, embedded helpers in desktop apps, and educational tools.

Where Can You Run It?

StableLM 3.5 runs on Ollama, LM Studio, llama.cpp, MLX (Apple Silicon), browser via Transformers.js, and Hugging Face Transformers. The 3B model fits in 4 GB VRAM at full precision or ~2 GB at 4-bit quantization.

How to Use StableLM 3.5 (Quick Start)

Easiest: ollama pull stablelm-zephyr or download GGUF for llama.cpp. For Hugging Face, load stabilityai/stablelm-3b-4e1t with the standard transformers API.

When Should You Choose StableLM 3.5?

Choose StableLM 3.5 for tiny, fast, on-device AI deployments where privacy and offline capability matter. For higher reasoning quality at similar size, also consider Phi-4 (14B), Llama 3.2-3B, or Gemma 3 4B.

Pricing

Free under Stability AI Community License for users under $1M revenue.

Pros and Cons

Pros: ✔ Tiny 3B size ✔ Runs on laptop CPU ✔ Multilingual ✔ Browser-compatible ✔ Multiple quantizations ✔ Active community

Cons: ✘ Below Phi-4 on reasoning ✘ Community License has revenue cap ✘ Smaller fine-tune ecosystem ✘ 4K-16K context

Final Verdict

StableLM 3.5 is a great compact LLM for on-device deployment in 2026 — perfect for indie creators. Discover more lightweight AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Tiny 3B size
  • ✓ Runs on laptop CPU
  • ✓ Multilingual
  • ✓ Browser-compatible (WebGPU)
  • ✓ Multiple quantization options
  • ✓ Active community
Limitations
  • ✗ Below Phi-4 on reasoning
  • ✗ Community License has revenue cap
  • ✗ Smaller fine-tune ecosystem
  • ✗ 4K-16K context

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Decoder Transformer
Stability
stable
Framework
PyTorch
License
Stability AI Community License
Release Date
2024-12-08
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Free for users under $1M revenue; Enterprise license for larger orgs

Best For

Indie developers building lightweight on-device AI assistants

Alternative To

Phi-3-mini, Llama 3.2-3B, Gemma 2 2B

Compare With

stablelm vs phi-3stablelm 3b vs llama 3.2stablelm vs gemmabest small llm laptopfree on-device ai

Tags

#On Device AI#Stablelm#Small Language Model#Open Source AI#llm#stability-ai

You Might Also Like

More AI Models Similar to StableLM 3.5

Orca 2 13B

Orca 2 by Microsoft is a free open-source 13B LLM that punches above its weight on reasoning tasks. Trained with cautious step-by-step reasoning techniques, beats models 5-10x larger on logic and math. Research-friendly license.

freellm

Phi-4

Phi-4 by Microsoft is a 14B small language model that outperforms much larger LLMs on math and reasoning. Open weights under MIT license, runs on a laptop GPU, perfect for free local AI assistants and on-device apps.

open sourcellm

xLSTM 1.5B

xLSTM 1.5B by NXAI is a free open-source language model based on the modern xLSTM architecture — an evolution of LSTM that competes with transformers. Apache 2.0, efficient inference, breakthrough alternative architecture.

open sourcellm