v1.0.2

Bug Fix

• Fixed ImportError when running onecomp CLI without matplotlib installed; AutoBitQuantizer._visualize() now catches the import error and logs a warning instead of crashing

v1.0.1

Packaging

• Moved matplotlib from dev extra to new visualize extra in pyproject.toml
• Made visualize_bit_assignment import lazy in onecomp/quantizer/autobit/__init__.py to avoid requiring matplotlib at import time
• Updated installation instructions in README.md and docs/getting-started/installation.md to reflect the new visualize extra
• Updated uv.lock

v1.0.0

Fujitsu One Compression (OneComp)

A Python package for LLM compression.
Full documentation: https://FujitsuResearch.github.io/OneCompression/

Features

• Quantization Error Propagation (QEP): Post-training quantization with error propagation to subsequent layers (Arai & Ichikawa, NeurIPS 2025)
• vLLM Plugin Integration: Serve quantized models with vLLM via built-in DBF and Mixed-GPTQ plugins
• AutoBit: Mixed-precision quantization with ILP-based bitwidth assignment and automatic VRAM estimation
• JointQ: Joint quantization optimizing weight assignments and scale parameters simultaneously
• LoRA SFT Post-Process: Fine-tune quantized models with LoRA for accuracy recovery or knowledge injection
• Rotation Preprocessing: SpinQuant/OstQuant-based rotation preprocessing (Llama, Qwen3)

Supported Models

Architecture	Verified Models	Status
Llama	TinyLlama, Llama-2, Llama-3	Verified
Qwen3	Qwen3-0.6B ~ 32B	Verified

Installation

pip install onecomp