AI Infrastructure & MLOps Freemium

Unsloth

Open-source local framework and Studio for efficient model training and inference

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PricingFreemium
Starting priceContact sales
Free planYes
Free trialYes
APIUnknown
Open sourceYes
DeploymentSelf Hosted
Last verifiedAugust 3, 2026
Overview

Tool overview

Unsloth is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Unsloth?

Unsloth is an Apache-2.0 framework and no-code Studio for running, fine-tuning, reinforcement learning, and exporting open AI models with reduced memory use. It supports local Windows, Linux, WSL, macOS, Docker, and Python workflows, while Pro and Enterprise capabilities are sold through contact-based plans.

Best fit

Best for

Developers and researchers fine-tuning or running open models locally

Audience

Who is it for?

ML engineersResearchersLocal AI usersModel developers
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Local model inference, fine-tuning, and reinforcement learning

Open-source Python core and no-code Studio web UI

Support for text, vision, TTS, embedding, and multimodal models

Integration with Ollama, llama.cpp, vLLM, Claude Code, and Codex

Workflows

Use cases

Fine-tune open language models locally

Run quantized models on personal hardware

Prepare datasets and reinforcement-learning workflows

Connect local models to coding agents

Strengths

Pros

  • Free Apache-2.0 core and Studio
  • Current active Python release cadence
  • Broad model and operating-system support
Considerations

Limitations

Results depend on hardware, dataset quality, model license, quantization, and training configuration.

Users must validate data rights, evaluation quality, safety, export format, and production hardware before deployment.

Cost

Pricing details

Pricing modelFreemium
Starting priceContact sales
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source tierPro contact salesEnterprise contact salesUser-paid hardware and cloud costs
Pricing context

Pricing note

The standard Unsloth core and Studio are free. Pro and Enterprise require sales contact and publish capability differences rather than numeric prices. Users bear their own hardware, cloud, storage, and model costs.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Hugging Face

Ollama

llama.cpp

vLLM

Claude Code

OpenAI Codex

Specs

Technical details

PlatformsDesktop
Multilingual supportUnknown
Login requiredNo
Open sourceYes
LicenseApache-2.0
DeploymentSelf Hosted
CompanyUnsloth AI team
Current version2026.7.4
Models / versionsLlama Qwen Gemma Mistral DeepSeek gpt-oss TTS Vision Embedding
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

Unsloth is an Apache-2.0 framework and no-code Studio for running, fine-tuning, reinforcement learning, and exporting open AI models with reduced memory use. It supports local Windows, Linux, WSL, macOS, Docker, and Python workflows, while Pro and Enterprise capabilities are sold through contact-based…
Developers and researchers fine-tuning or running open models locally
The listed pricing model for Unsloth is Freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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