AutoGPTQ

AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy.

Features

Efficient quantization for large language models
Reduces memory usage without major performance loss
Supports various precision levels (e.g., 4-bit, 8-bit)
Compatible with Hugging Face Transformers
Accelerates inference on GPUs and CPUs
Helps deploy LLMs on resource-constrained hardware

Project Samples

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool, Python LLM Inference Tool

Registered

2025-01-21

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