| Name | Version | Summary | date |
| ai-edge-quantizer-nightly |
0.3.0.dev20250818 |
A quantizer for advanced developers to quantize converted AI Edge models. |
2025-08-18 00:15:28 |
| metis-agent |
0.17.4 |
A comprehensive framework for building powerful AI agents with enhanced developer experience, intelligent project awareness, and enterprise-grade security |
2025-08-17 18:10:21 |
| bitsandbytes |
0.47.0 |
k-bit optimizers and matrix multiplication routines. |
2025-08-11 18:51:20 |
| optimum-intel |
1.25.0 |
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality. |
2025-08-04 16:41:28 |
| tensorflores |
0.1.11 |
TensorFlores is a Python-based framework for optimizing machine learning deployment in resource-constrained environments, with support for TinyML, EdgeAI, and quantization. |
2025-08-04 00:29:03 |
| optimum |
1.27.0 |
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality. |
2025-07-30 16:40:44 |
| unfake |
1.0.1 |
High-performance tool for improving AI-generated pixel art |
2025-07-26 21:35:36 |
| vector-quantize-pytorch |
1.22.18 |
Vector Quantization - Pytorch |
2025-07-21 14:51:46 |
| fedcore |
0.0.5.3 |
Federated learning core library |
2025-07-09 21:11:50 |
| llmcompressor |
0.6.0 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2025-06-24 15:20:55 |
| llmcompressor-nightly |
0.4.1.20250314 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2025-03-14 03:23:13 |
| kvquant |
0.0.1 |
More for Keys, Less for Values: Adaptive KV Cache Quantization 🐍🚀🎉🦕 |
2025-02-27 20:12:37 |
| gptqmodel |
1.8.1 |
A LLM quantization package with user-friendly apis. Based on GPTQ algorithm. |
2025-02-08 20:20:50 |
| nncf |
2.15.0 |
Neural Networks Compression Framework |
2025-02-06 10:09:14 |
| autoawq |
0.2.8 |
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. |
2025-01-20 11:03:42 |
| friendli-model-optimizer |
0.10.0 |
Model Optimizer CLI for Friendli Engine. |
2025-01-08 09:57:35 |
| fmo-core |
0.9 |
Model Optimizer for Friendli Engine. |
2025-01-03 08:40:30 |
| autoawq-kernels |
0.0.9 |
AutoAWQ Kernels implements the AWQ kernels. |
2024-11-16 15:42:59 |
| optimum-quanto |
0.2.6 |
A pytorch quantization backend for optimum. |
2024-10-29 17:13:31 |
| owlite |
0.0.8 |
A fake package to warn the user they are not installing the correct package. |
2024-10-02 07:36:45 |