Code & Development · GitHub ·219 ★

unsloth-buddy

Zero-friction LLM fine-tuning skill for Claude Code, Gemini CLI & any ACP agent. Unsloth on NVIDIA · TRL+MPS/MLX on Apple Silicon. Automates env setup, LoRA training (SFT, DPO, GRPO, vision), post-hoc GRPO log diagnostics, evaluation, and export end-to-end. Part of the Gaslamp AI platform.

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Details

Author
TYH-labs
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
219
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@TYH-labs

Overview

Zero-friction LLM fine-tuning skill for Claude Code, Gemini CLI & any ACP agent. Unsloth on NVIDIA · TRL+MPS/MLX on Apple Silicon. Automates env setup, LoRA training (SFT, DPO, GRPO, vision), post-hoc GRPO log diagnostics, evaluation, and export end-to-end. Part of the Gaslamp AI platform.

Quick start

git

git clone https://github.com/TYH-labs/unsloth-buddy

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What unsloth-buddy can do

llmfine-tuncode
  • Llm — llm task automation.
  • Fine Tun — fine-tun task automation.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is unsloth-buddy?
Zero-friction LLM fine-tuning skill for Claude Code, Gemini CLI & any ACP agent. Unsloth on NVIDIA · TRL+MPS/MLX on Apple Silicon. Automates env setup, LoRA training (SFT, DPO, GRPO, vision), post-hoc GRPO log diagnostics, evaluation, and export end-to-end. Part of the Gaslamp AI platform.
How do I install unsloth-buddy?
Use git: `git clone https://github.com/TYH-labs/unsloth-buddy`. Full setup details on the source page linked above.
Is unsloth-buddy open source?
unsloth-buddy is published on GitHub.
What are alternatives to unsloth-buddy?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for unsloth-buddy is sourced from GitHub, published by TYH-labs.

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