Unsloth website screenshot

Unsloth

Unsloth is an open-source framework for fine-tuning, reinforcement learning, and running large language models locally. Its Python library trains 500+ models (text, vision, audio, embeddings) roughly 2x faster with up to 70-80% less VRAM via custom Triton kernels and dynamic quantization, and Unsloth Studio provides a local, browser-based GUI for no-code training and chat. Models loaded in Unsloth are exposed through an authenticated, OpenAI-compatible local API endpoint (llama-server) so agents like Claude Code, Codex, and standard OpenAI/Anthropic SDKs can use them; there is no hosted SaaS API. Backed by Lightspeed Venture Partners.

Unsloth is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, LLM Fine-Tuning, Machine Learning, and Open Source.

Unsloth’s developer surface includes documentation, getting-started guide, engineering blog, support, pricing, changelog, CLI, and 17 more developer resources.

33.9/100 thin ▬ flat Agent 15/100 agent aware Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
AccessFreemiumSelf serve⚡ Free to try
0 APIs 1 MCP Servers
CompanyArtificial IntelligenceLLM Fine-TuningMachine LearningOpen SourceReinforcement LearningQuantizationLocal AIDeveloper Tools

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Unsloth It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/unsloth/"><img src="https://apis.io/badge/unsloth/card.svg" alt="Unsloth on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
11 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/unsloth/apis.yml: open an issue on github.com/api-evangelist/unsloth to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Hugging Face Hub Organisations mixed 44.1 - 1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

measured — observed by APIs.io (verified)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Unsloth MCP Server

Remote MCP server at unsloth.ai over HTTP; 4 tools listed.

MCP SERVER

Unsloth API pricing

Prices published by Unsloth, read 2026-10-07 from unsloth.ai/pricing.

PlanPrice
Free Get started
Includes: Open-source; Supports Mistral, Gemma; Supports LLama 1, 2, 3; MultiGPU - coming soon; Supports 4 bit
unsloth Pro Contact us
Includes: 2.5x number of GPUs faster than FA2; 20% less memory than OSS; Enhanced MultiGPU support; Up to 8 GP
unsloth Enterprise Contact us
Includes: 32x number of GPUs faster than FA2; up to +30% accuracy; 5x faster inference; Supports full training

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Unsloth Plans Pricing

3 plans

PLANS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Unsloth Authentication

apiKey · 1 scheme

SECURITY

Unsloth Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 4

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: unsloth
name: Unsloth
description: Unsloth is an open-source framework for fine-tuning, reinforcement learning, and running large language models
  locally. Its Python library trains 500+ models (text, vision, audio, embeddings) roughly 2x faster with up to 70-80% less
  VRAM via custom Triton kernels and dynamic quantization, and Unsloth Studio provides a local, browser-based GUI for no-code
  training and chat. Models loaded in Unsloth are exposed through an authenticated, OpenAI-compatible local API endpoint (llama-server)
  so agents like Claude Code, Codex, and standard OpenAI/Anthropic SDKs can use them; there is no hosted SaaS API. Backed
  by Lightspeed Venture Partners.
url: https://raw.githubusercontent.com/api-evangelist/unsloth/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: profile
x-tier-reason: enriched-2026-07-21
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- LLM Fine-Tuning
- Machine Learning
- Open Source
- Reinforcement Learning
- Quantization
- Local AI
- Developer Tools
tags_raw:
- Company
- Artificial Intelligence
- LLM Fine-Tuning
- Machine Learning
- Open Source
- Reinforcement Learning
- Quantization
- Local AI
- Developer Tools
- Machine-Learning
- Open-Source
image: https://unsloth.ai/cgi/image/unsloth_logo_no_shadow_KgfOV6keeBZnffQsKUny3.png
apis: []
common:
- type: Plans
  url: plans/unsloth-plans-pricing.yml
- type: DomainSecurity
  url: security/unsloth-domain-security.yml
- name: Website
  type: Website
  url: https://unsloth.ai
- name: Documentation
  type: Documentation
  url: https://unsloth.ai/docs
- name: Getting Started
  type: GettingStarted
  url: https://unsloth.ai/docs/get-started/fine-tuning-for-beginners
- name: Blog
  type: Blog
  url: https://unsloth.ai/blog
- name: GitHub Organization
  type: GitHubOrganization
  url: https://github.com/unslothai
- name: Support (Discord Community)
  type: Support
  url: https://discord.com/invite/unsloth
- name: Contact
  type: Contact
  url: https://unsloth.ai/contact
- name: Pricing
  type: Pricing
  url: https://unsloth.ai/pricing
- name: Terms of Service
  type: TermsOfService
  url: https://unsloth.ai/terms
- name: Privacy Policy
  type: PrivacyPolicy
  url: https://unsloth.ai/privacy
- name: Newsletter
  type: Newsletter
  url: https://unslothai.substack.com/
- name: Hugging Face Organization
  type: ModelHub
  url: https://huggingface.co/unsloth
- name: Release Notes (GitHub Releases)
  type: ChangeLog
  url: https://github.com/unslothai/unsloth/releases
- name: Changelog Artifact
  type: ChangeLog
  url: changelog/unsloth-changelog.yml
- name: Packages
  type: Packages
  url: packages/unsloth-packages.yml
- name: SDKs
  type: SDKs
  url: packages/unsloth-packages.yml
- name: LLMs.txt
  type: LLMsTxt
  url: llms/unsloth-llms.txt
- name: Well-Known Index
  type: WellKnown
  url: well-known/unsloth-well-known.yml
- name: Conformance
  type: Conformance
  url: conformance/unsloth-conformance.yml
- name: CLI
  type: CLI
  url: cli/unsloth-cli.yml
- name: Authentication
  type: Authentication
  url: authentication/unsloth-authentication.yml
- name: Lifecycle
  type: Lifecycle
  url: lifecycle/unsloth-lifecycle.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 9
  pass: local-v1

Unsloth API — frequently asked questions

How do I authenticate with the Unsloth API?

Unsloth uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Unsloth Authentication.

How much does the Unsloth API cost?

Unsloth publishes its prices; its Free plan is Get started as of 2026-10-07. APIs.io lists 3 pricing plans for Unsloth, with each plan's price, limits and inclusions under Pricing on this page.

Does Unsloth have an MCP server?

Yes. APIs.io lists 1 MCP server for Unsloth: Remote MCP server at unsloth.ai over HTTP; 4 tools listed.

Is the Unsloth API ready for AI agents?

Unsloth has a Kin Score of 33.9 out of 100 (thin) and an Agent Readiness score of 14.8 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this
  • find_providersBrowse and filter every provider in the catalog.
  • get_provider_artifactsEvery artifact this provider publishes, grouped by type.
  • get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
  • get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
  • get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
  • get_provider_ratingPRO — composite, band, trend and facet scores.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

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