Smaller language models without calibration data.
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.
Give it a model-compression request; it provides code to quantize a model, test generation, and save the model and tokenizer.
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.
This skill
HuggingFace
Downloads model weights and tokenizer
hqq
Installs the hqq package