Individual skill
qlora
Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.
skills/qlora/SKILL.md
Source commit c364a15d5138e3240a360b919a757249ab3e5cd9
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 24
- Repository last updated
- May 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- codex-cli Repository topic
- llm Repository topic
- skills Repository topic
- ai-engineering Repository topic
- generative-ai Repository topic
- llm-engineering Repository topic
- claude-skills Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytesSKILL.mdcore · 12,705 bytes
Read excerpt
# QLoRA: Quantized Low-Rank Adaptation
QLoRA enables fine-tuning of large language models on consumer GPUs by combining 4-bit quantization with LoRA adapters. A 65B model can be fine-tuned on a single 48GB GPU while matching 16-bit fine-tuning performance.
> **Prerequisites**: This skill assumes familiarity with LoRA. See the `lora` skill for LoRA fundamentals (LoraConfig, target_modules, training patterns).
## Table of Contents
- [Core Innovations](#core-innovations)
- [BitsAndBytesConfig Deep Dive](#bitsandbytesconfig-deep-dive)
- [Memory Requirements](#memory-requirements)
- [Complete Training Example](#complete-training-example)
- [Inference and Merging](#inference-and-merging)
- [Troubleshooting](#troubleshooting)