API Reference¶

This section provides detailed API documentation for all public classes and functions in Fujitsu One Compression (OneComp).

Top-level Exports¶

The following are available directly from import onecomp:

Name	Type	Description
`Runner`	Class	Main entry point for quantization
`ModelConfig`	Class	Model and tokenizer configuration
`QEPConfig`	Class	QEP configuration
`LPCDConfig`	Class	LPCD configuration
`AutoBitQuantizer`	Class	AutoBit mixed-precision quantizer (ILP)
`GPTQ`	Class	GPTQ quantizer
`RTN`	Class	RTN quantizer
`DBF`	Class	DBF quantizer
`JointQ`	Class	JointQ quantizer
`QUIP`	Class	QuIP quantizer
`ARB`	Class	ARB quantizer
`CQ`	Class	CQ quantizer
`QBB`	Class	QBB quantizer
`Onebit`	Class	1-bit quantizer
`RotatedModelConfig`	Class	ModelConfig for rotation-preprocessed models
`QuantizedModelLoader`	Class	Loader for saved quantized models
`load_quantized_model`	Function	Shortcut for `QuantizedModelLoader.load_quantized_model`
`load_quantized_model_pt`	Function	Shortcut for `QuantizedModelLoader.load_quantized_model_pt`
`prepare_rotated_model`	Function	Rotation preprocessing pipeline
`setup_logger`	Function	Configure logging output

Evaluation (onecomp-eval, vLLM + MT-Bench / throughput) is documented separately: Evaluation user guide and Evaluation API.

Module Structure¶

onecomp/
    runner.py              # Runner class (includes auto_run)
    cli.py                 # CLI entry point (onecomp command)
    __main__.py            # python -m onecomp support
    model_config.py        # ModelConfig class
    rotated_model_config.py # RotatedModelConfig class
    pre_process/           # Rotation preprocessing pipeline
        prepare_rotated_model.py  # prepare_rotated_model()
    qep/                   # QEP module
        _qep_config.py     # QEPConfig dataclass
    lpcd/                  # LPCD module
        _lpcd_config.py    # LPCDConfig dataclass
    quantizer/             # Quantizer implementations
        _quantizer.py      # Quantizer base class, QuantizationResult
        autobit/           # AutoBit (ILP mixed-precision)
        gptq/              # GPTQ
        dbf/               # DBF
        rtn/               # RTN
        jointq/            # JointQ
        ...
    quantized_model_loader.py  # QuantizedModelLoader
    log.py                 # setup_logger
    utils/                 # Calibration, perplexity, accuracy utilities
eval/                      # onecomp-eval harness (see api/eval.md)
    schema.py              # EvalConfig, TaskResult, per-eval configs
    orchestrator/          # vLLM server, subprocess dispatch, aggregation
    evals/                 # mt_bench, throughput, ...