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Unsloth

Desktop application for running and training machine learning models locally on your hardware

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Also known as
unsloth

What is Unsloth?

Unsloth is a free, open-source desktop app that lets you execute and fine-tune various machine learning models on your own devices. It supports multiple model types including language models, image generation, and diffusion models, with features like parameter-efficient fine-tuning, quantization, and distributed multi-GPU training.

Independently observed

Unsloth pricing

Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.

Pricing as of verify at live pricing ↗Independently observed
HybridFree tier

Free open-source tier; Pro and Enterprise plans available

Free

Free
Free

Open-source version with core model training capabilities

  • Supports Mistral, Gemma, Llama 1/2/3 models
  • 4-bit and 16-bit LoRA fine-tuning
  • Single GPU support
  • 2x speed improvement
  • 60% VRAM reduction
  • Fully local and offline operation

Pro

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Enhanced performance with multi-GPU support

  • 2.5x faster training
  • 20% less VRAM usage
  • Multi-GPU support up to 8 GPUs
  • 80% VRAM reduction
  • Support for any use case

Enterprise

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Contact sales

Maximum performance with multi-node deployment and accuracy improvements

  • 30x faster training
  • Up to 30% accuracy improvement
  • 5x faster inference
  • Multi-node support
  • 90% VRAM reduction
  • Full training support
  • Customer support included

What Unsloth does

The capabilities that matter for fine tuning platforms, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Architecture model
Open source library local GPU
Peft lora and qlora parameter efficient tuning
✓
Rlhf and dpo preference alignment optimization
✓
Serverless hosting of fine tuned adapters lorax
-
Four bit and eight bit memory quantization
✓
Flash attention and xformers compilation
✓
Distributed multi GPU orchestration fsdp deepspeed
✓
Synthetic data generation and evaluation pipeline
✓
Native huggingface hub push pull integration
✓
Weights and biases wandb experiment tracking
-
SOC2 type ii
-
Mit or apache permissive oss license
✓
Pricing model
Free open source
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • macOS
  • Web
  • Linux
  • Windows
Deployment
  • Air-gapped
  • Self-hosted

Integrations (28)

Independently observed
  • Claude Code
  • Codex
  • OpenAI API
  • Hugging Face
  • Google
  • Model Context Protocol
  • Cloudflare
  • FLUX
  • MiniMax-H3
  • Stable Diffusion
  • Qwen3.8
  • DeepSeek-V4
  • Gemma 2
  • Gemma 4
  • Mistral
  • Llama 1
  • Llama 2
  • Llama 3
  • Hermes
  • OpenCode
  • OpenClaw
  • DeepSeek Harness
  • ChatGPT
  • OpenAI
  • Anthropic
  • Ollama
  • vLLM
  • Hugging Face Hub

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Unsloth FAQ

Common questions about Unsloth, answered from independent, dated evidence.

What is Unsloth?

Unsloth is a free, open-source desktop app that lets users run, customize, and train AI models on their own hardware with optimizations for speed and memory usage. It supports multiple GPU setups and offers paid Pro and Enterprise tiers with enhanced performance and deployment capabilities. It is indexed under Fine Tuning Platforms.

Source: https://unsloth.ai/pricing

Is Unsloth free to use?

Unsloth is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Paid editions are also offered: Pro and Enterprise, priced on request. Pricing changes often, so verify at source before relying on it.

Source: https://unsloth.ai/pricing

What platforms does Unsloth support?

Unsloth supports the web, Windows, macOS and Linux. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://unsloth.ai/pricing

Can Unsloth be self-hosted?

Yes. Unsloth can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://unsloth.ai/pricing

What does Unsloth integrate with?

We have confirmed 18 integrations for Unsloth, including Claude Code, Codex, OpenAI API, Hugging Face, Google, Model Context Protocol, Cloudflare and FLUX, plus 10 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://unsloth.ai/pricing

Is Unsloth open source?

Yes. Unsloth is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/unslothai/unsloth

Unsloth alternatives

Other fine tuning platforms we track, ranked by the same independent score.

All Unsloth alternatives, ranked →

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Unsloth, not the verdict.

Balanced composite 59 / 100
low · 39%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity630.148.5✓
Release cadence990.088.1✓
Capabilities920.087.4✓
Stars920.054.3✓
Security score490.052.6✓
Integrations340.051.8✓
Dependent projects00.050.0✓
Security posture00.120.0-
Package downloads00.040.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d100mediumsource · 2026-10-14 · 65%

Adoption

AttributeValueEvidence
Github stars78,004highsource · 2026-10-14 · 90%
Dependent repos0highsource · 2026-10-14 · 85%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesPricing model: free_open_source · Architecture model: open_source_library_local_gpu · Mit or apache permissive oss license: Yes · Flash attention and xformers compilation: Yes · Four bit and eight bit memory quantization: Yes · Native huggingface hub push pull integration: Yesmediumsource · 2026-10-14 · 60%

Integrations

AttributeValueEvidence
Count14mediumsource · 2026-09-14 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-14 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-14 · 60%
Modelfreemiummediumsource · 2026-10-14 · 60%
Price levellowmediumsource · 2026-10-14 · 60%
TransparentYesmediumsource · 2026-09-14 · 60%

Release

AttributeValueEvidence
Cadence days1mediumsource · 2026-10-14 · 70%
History20 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
Scorecard4.9highsource · 2026-10-14 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=python313Packages.unsloth&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
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Last updated . Canonical URI: https://www.vioscale.ai/software/unsloth.