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hqq-quantization

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

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Install

armory install hqq-quantization --cli claude

writes the skill into.claude/skills/hqq-quantization/SKILL.mdListed as compatible

Configuration
# fetches the source and writes it to:
.claude/skills/hqq-quantization/SKILL.md

Needs the armory CLI · not on npm yet, build it from cli/ in the repository

What it is

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

When to use it

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

How to install / invoke

# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/optimization-hqq/SKILL.md -o .claude/skills/optimization-hqq/SKILL.md

Notes

Extracted from davila7/claude-code-templates, optimization-hqq category.