quantization-formats

Complete guide to INT8, NF4, FP4 quantization formats, double quantization, and custom configurations in bitsandbytes.

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Install (Claude Code)

mkdir -p .claude/skills/quantization-formats && curl -fsSL https://doutorai.pt/data/lib/skills__quantization-formats.md -o .claude/skills/quantization-formats/SKILL.md

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Content

# Quantization Formats

Complete guide to INT8, NF4, FP4 quantization formats, double quantization, and custom configurations in bitsandbytes.

## Overview

bitsandbytes supports multiple quantization formats:
- **INT8**: 8-bit integer quantization (LLM.int8())
- **NF4**: 4-bit NormalFloat (for normally distributed weights)
- **FP4**: 4-bit FloatPoint (for uniformly distributed weights)
- **Double Quantization**: Quantize the quantization constants

## INT8 Quantization

### LLM.int8() Algorithm

LLM.int8() uses mixed 8-bit/16-bit matrix multiplication:
- Most features (>99.9%) computed in INT

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