安装方式需查阅官网安装指南，README 未直接给出命令；使用前需已安装 TensorFlow/Keras 环境
model-optimization
tensorflowApache-2.0活跃维护面向 Keras 和 TensorFlow 的模型压缩工具包，通过量化和剪枝把训练好的模型压小、跑得更快，方便部署到移动端和边缘设备。
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
v0.8.1发布于 2026-05-12 18:23 UTC1,582star348fork同步于 2026-11-10 05:53 UTC
README 未给出安装命令，仅指向 tensorflow.org/model_optimization/guide/install 硬件要求按 README 说明
README 未说明
TensorFlow 官方的模型压缩工具包，用剪枝和量化把 Keras 模型变小以便部署
面向 Keras 和 TensorFlow 的模型压缩工具包，通过量化和剪枝把训练好的模型压小、跑得更快，方便部署到移动端和边缘设备。
核心能力
- 提供 Keras 专用 API 做剪枝与量化
- 支持稀疏权重剪枝
- 支持量化优化
- 按 clustering、quantization、sparsity 分子包维护
- 提供稳定的 Python API
容易踩的坑
内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README
这个条目还没有人工点评。如果它对你很有用，欢迎到 提交仓库 页写下你的使用经验。
用户点评
登录用户的真实使用记录，可按版本和硬件筛选共 0 条
还没有人点评。第一个说出真实体验的人最有价值。
- v0.8.1TensorFlow Model Optimization 0.8.1最新正式版2026-05-12 · 2026-05-12 18:23 UTC
TFMOT 0.8.1 improves compatibility with numpy v2 and dependencies.
- Fix keras importing failures at the colab.
- Add required packages to setup.py to match requirements.txt.
- Relax absl-py requirements for tensorflow_model_optimization.
- Mark compatibility with numpy v2.
- v0.8.0TensorFlow Model Optimization 0.8.02024-02-08 · 2024-02-08 02:06 UTC
查看更新说明
TFMOT 0.8.0 forces users to use the keras v2 version.
- Fix structural pruning sparsity notebook
- Remove private Keras imports.
- Redirect TF references.
- Fix broken tests.
- Tested against TensorFlow 2.14.1, and nightly on Python 3.
- v0.7.5TensorFlow Model Optimization 0.7.52023-05-26 · 2023-05-26 02:36 UTC
查看更新说明
TFMOT 0.7.5 fixes compatibility issues with new keras.
- Fixed improper serialization code route for functional models.
- Created a local copy of keras.utils.generic_utils.to_snake_case.
- Handled the error type reflect to the keras update.
- Fixed compatibility issues for the TF/Keras 2.13.
- v0.7.4TensorFlow Model Optimization 0.7.42023-04-03 · 2023-04-03 01:49 UTC
查看更新说明
TFMOT 0.7.4 add from_config method to QuantizeConfig class since the new keras serialization enforces it.
- v0.7.3TensorFlow Model Optimization 0.7.32022-07-20 · 2022-07-20 20:42 UTC
查看更新说明
TFMOT 0.7.3 add remove_input_range method that removes input range after apply quantize.
TensorFlow Model Optimization Toolkit
The TensorFlow Model Optimization Toolkit is a suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Supported techniques include quantization and pruning for sparse weights. There are APIs built specifically for Keras.
For an overview of this project and individual tools, the optimization gains, and our roadmap refer to tensorflow.org/model_optimization. The website also provides various tutorials and API docs.
The toolkit provides stable Python APIs.
Installation
For installation instructions, see tensorflow.org/model_optimization/guide/install.
Contribution guidelines
If you want to contribute to TensorFlow Model Optimization, be sure to review the contribution guidelines. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.
We use GitHub issues for tracking requests and bugs.
Maintainers
Community
As part of TensorFlow, we're committed to fostering an open and welcoming environment.
- TensorFlow Blog: Stay up to date on content from the TensorFlow team and best articles from the community.
headroom
headroomlabs-ai·Python
在工具输出、日志、文件和 RAG 片段进入 LLM 前先做压缩，编码 Agent 省约 20% token，JSON 省 60-95%，答案不变。提供库、代理和 MCP 服务器三种用法。
上下文压缩+4量化
79264+2196.2kv0.43.12026-11-10 05:09 UTC
llmfit
AlexsJones·Rust
一条命令就能从数百个模型和供应商里筛出适合你硬件配置的本地大模型，省去逐个试跑和查显存的麻烦。
本地推理+4量化
38868+1412.5kv1.1.202026-11-09 21:31 UTC
PaddleNLP
PaddlePaddle·Python
基于飞桨的 NLP 与大模型开发库，提供丰富模型库，覆盖 BERT、ERNIE、LLaMA 等，支持分布式训练、压缩和文档智能等任务。
大模型开发库+4量化
12987+13.0krl-v1.0.02026-05-23 02:54 UTC
bitsandbytes
bitsandbytes-foundation·Python
让大模型在普通显卡上跑起来的 PyTorch 量化库，支持 8-bit 和 4-bit 权重压缩，也是 QLoRA 微调背后的核心依赖。
量化+4量化
85369420.50.22026-11-02 14:36 UTC