oski — open source
Unsloth
Fine TuningMIT
What it solves
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Attribution
Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/03-fine-tuning/unsloth
Anthropic and OpenAI are registered trademarks of their respective owners. skill.ski is not affiliated with or endorsed by Anthropic or OpenAI.
MCP Endpoint
mcp://skill.ski/free#oski-orchestra-unslothCopy linkInstall in Claude Code / Cursor / Codex
Add the free skill.ski MCP server to your .mcp.json or equivalent config file:
{
"mcpServers": {
"skill-ski-free": {
"url": "https://mcp.skill.ski/free",
"type": "http"
}
}
}Once connected, this Oski is available as a callable tool at your runtime. No paywall. No sign-in required for free-tier Oskis.