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 16 more developer resources.
Kin Score
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
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 3
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