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By orchestra-research

hqq-quantization

orchestra-research903 installs

Smaller language models without calibration data.

What it does

Compresses language models with HQQ without calibration data, checks generation quality, and saves the quantized model.

When to use it

Use for calibration-free model quantization, fast compression, HuggingFace or vLLM deployment, quantized fine-tuning, or very low-bit experiments.

How to use it

Give it a model-compression request; it provides code to quantize a model, test generation, and save the model and tokenizer.

Uses

Latest review

What you need · 2

Declares hqq version 0.2.0 or newer as a dependency and includes an installation command.

Declares torch version 2.0.0 or newer as a dependency.


Access · 2

This skill

HuggingFace

Read

Downloads model weights and tokenizer

hqq

Execute

Installs the hqq package