Large language model fine-tuning expertise covering LoRA and QLoRA parameter-efficient methods, full fine-tuning strategies, dataset preparation and curation, instruction tuning, DPO alignment, evaluation frameworks, Hugging Face TRL and PEFT libraries, compute optimization, and deployment of fine-tuned models.
Free and open source. macOS, Windows and Ubuntu.
Add the skill to a bot, then ask your Chief of Staff:
“Use the LLM Fine-Tuner skill on this: [describe the job, or paste your notes].”
Fine-tuning large language models adapts pre-trained foundation models to specific domains, tasks, or behaviors.
Free for Mac, Windows and Ubuntu.
Open Settings → Skills and switch on LLM Fine-Tuner for any bot. Or ask your Chief of Staff to pick skills for a job.
The bot reads the skill when the job calls for it, and works the way it lays out.
Large language model fine-tuning expertise covering LoRA and QLoRA parameter-efficient methods, full fine-tuning strategies, dataset preparation and curation, instruction tuning, DPO alignment, evaluation frameworks, Hugging Face TRL and PEFT libraries, compute optimization, and deployment of fine-tuned models.
Nothing. It ships with Murage, which is free and open source. Your bots run on the AI plan you already have.
Yes. Open it in Settings → Skills to read, edit or duplicate it. Skill Guard scans it again after every edit.
Download the free app, connect the AI you already pay for, and tell your Chief of Staff what needs doing. Plan on about ten minutes from install to a working team.
No account needed · Runs on the AI plan you already pay for