quantization
CommunityLean, fast model quantization for inference.
Authoratrawog
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Quantizes neural network models to reduce memory footprint and accelerate inference.
Core Features & Use Cases
- Supports FP32, FP16, BF16, INT8, INT4 precisions to balance accuracy and performance.
- Provides BitsAndBytes-based loading configurations (load_in_4bit, nf4, fp4) and memory estimation.
- Enables deployment on memory-constrained hardware and training with QLoRA workflows.
Quick Start
Quantize your model to 4-bit NF4 for reduced memory and faster inference.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: quantization Download link: https://github.com/atrawog/overthink-plugins/archive/main.zip#quantization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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