Last commit on May 6, 2026·Created on March 15, 2026
TYH-labs/unsloth-buddy
“Fits bigger models onto smaller GPUs without losing accuracy.”
Combined rank
#368
across all skills
In Automation
#26
category rank
Stars
270
+0.4% in last 7d
Forks
14
+7.7% in last 7d
Watchers
1
0.0% in last 7d
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This skill guides fine-tuning and reinforcement learning for large language models using the Unsloth library, which cuts VRAM usage by up to 80% with zero accuracy loss. It helps ML engineers and AI researchers training on limited hardware—consumer GPUs, Apple Silicon Macs, or free Colab T4s—by handling environment setup, LoRA patching, data formatting, and deployment export to GGUF, Ollama, or vLLM. The assistant follows a structured 7-phase lifecycle from project initialization through evaluation, demo generation, and memory reflection.