quantization

Open-source projects categorized as quantization
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Topics: Deep Learning Pytorch llm pruning Onnx
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Top 23 quantization Open-Source Projects

  • LLaMA-Factory

    Unify Efficient Fine-Tuning of 100+ LLMs

    • Project mention: Show HN: GPU Prices on eBay | news.ycombinator.com | 2024-02-23

    Depends what model you want to train, and how well you want your computer to keep working while you're doing it.

    If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.

    You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.

    Spend a bit more and you'll probably have a better time.

    [1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...

  • Chinese-LLaMA-Alpaca

    中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

    • Project mention: Chinese-Alpaca-Plus-13B-GPTQ | /r/LocalLLaMA | 2023-05-30

    I'd like to share with you today the Chinese-Alpaca-Plus-13B-GPTQ model, which is the GPTQ format quantised 4bit models of Yiming Cui's Chinese-LLaMA-Alpaca 13B for GPU reference.

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  • faster-whisper

    Faster Whisper transcription with CTranslate2

    • Project mention: Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow | dev.to | 2024-04-29

    Faster-whisper (https://github.com/SYSTRAN/faster-whisper)

  • pngquant

    Lossy PNG compressor — pngquant command based on libimagequant library

    • Project mention: Random Code Inspiration Volume 2 | dev.to | 2023-10-01

    image-shrinker is a simple, easy to use open source tool for shrinking images. Under the hood it uses pngquant, mozjpg, SVGO, and gifsicle. You can also install these tools individually if you need to compress some images. I often use pngquantafter exporting PNGs for web projects from Figma or similar tools. I literally run it like this:

  • AutoGPTQ

    An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

    • Project mention: Setting up LLAMA2 70B Chat locally | /r/developersIndia | 2023-08-18

  • Pretrained-Language-Model

    Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

    • Project mention: Does anyone know a downloadable chatgpt model that supports conversation in Albanian? | /r/Programimi | 2023-05-16

  • deepsparse

    Sparsity-aware deep learning inference runtime for CPUs

    • Project mention: Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse | news.ycombinator.com | 2023-11-23

    Interesting company. Yannic Kilcher interviewed Nir Shavit last year and they went into some depth: https://www.youtube.com/watch?v=0PAiQ1jTN5k DeepSparse is on GitHub: https://github.com/neuralmagic/deepsparse

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  • CTranslate2

    Fast inference engine for Transformer models

    • Project mention: Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow | dev.to | 2024-04-29

  • xTuring

    Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

    • Project mention: I'm developing an open-source AI tool called xTuring, enabling anyone to construct a Language Model with just 5 lines of code. I'd love to hear your thoughts! | /r/machinelearningnews | 2023-09-07

    Explore the project on GitHub here.

  • mixtral-offloading

    Run Mixtral-8x7B models in Colab or consumer desktops

    • Project mention: DBRX: A New Open LLM | news.ycombinator.com | 2024-03-27

    Waiting for Mixed Quantization with MQQ and MoE Offloading [1]. With that I was able to run Mistral 8x7B on my 10 GB VRAM rtx3080... This should work for DBRX and should shave off a ton of VRAM requirement.

    1. https://github.com/dvmazur/mixtral-offloading?tab=readme-ov-...

  • optimum

    🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

    • Project mention: FastEmbed: Fast and Lightweight Embedding Generation for Text | dev.to | 2024-02-02

    Shout out to Huggingface's Optimum – which made it easier to quantize models.

  • neural-compressor

    SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  • aimet

    AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  • model-optimization

    A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

  • mmrazor

    OpenMMLab Model Compression Toolbox and Benchmark.

  • intel-extension-for-pytorch

    A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

    • Project mention: Efficient LLM inference solution on Intel GPU | news.ycombinator.com | 2024-01-20

    OK I found it. Looks like they use SYCL (which for some reason they've rebranded to DPC++): https://github.com/intel/intel-extension-for-pytorch/tree/v2...

  • rwkv.cpp

    INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

    • Project mention: Eagle 7B: Soaring past Transformers | news.ycombinator.com | 2024-01-28

    There's https://github.com/saharNooby/rwkv.cpp, which related-ish[0] to ggml/llama.cpp

    [0]: https://github.com/ggerganov/llama.cpp/issues/846

  • nncf

    Neural Network Compression Framework for enhanced OpenVINO™ inference

    • Project mention: FLaNK Stack Weekly 06 Nov 2023 | dev.to | 2023-11-06

  • tinyengine

    [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory (by mit-han-lab)

    • Project mention: [D] Run Pytorch model inference on Microcontroller | /r/MachineLearning | 2023-11-14

    TinyEngine from MCUNet. Looks great, targeting ARM CM4.

  • finn

    Dataflow compiler for QNN inference on FPGAs

    • Project mention: Hi, What could be the best HLS tool for implementing neural networks on FPGA | /r/FPGA | 2023-06-13

    FINN - https://github.com/Xilinx/finn

  • gpu_poor

    Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

    • Project mention: Ask HN: Cheapest way to run local LLMs? | news.ycombinator.com | 2023-11-26

    Here's a simple calculator for LLM inference requirements: https://rahulschand.github.io/gpu_poor/

  • quanto

    A pytorch Quantization Toolkit

    • Project mention: FLaNK AI-April 22, 2024 | dev.to | 2024-04-22

  • SqueezeLLM

    [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

    • Project mention: Llama33B vs Falcon40B vs MPT30B | /r/LocalLLaMA | 2023-07-05

    Using the currently popular gptq the 3bit quantization hurts performance much more than 4bit, but there's also awq (https://github.com/mit-han-lab/llm-awq) and squishllm (https://github.com/SqueezeAILab/SqueezeLLM) which are able to manage 3bit without as much performance drop - I hope to see them used more commonly.

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

quantization related posts

  • Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow

    7 projects | dev.to | 29 Apr 2024

  • Apple Explores Home Robotics as Potential 'Next Big Thing'

    3 projects | news.ycombinator.com | 4 Apr 2024

  • Half-Quadratic Quantization of Large Machine Learning Models

    1 project | news.ycombinator.com | 14 Mar 2024

  • Eagle 7B: Soaring past Transformers

    2 projects | news.ycombinator.com | 28 Jan 2024

  • New Mixtral HQQ Quantzied 4-bit/2-bit configuration

    1 project | news.ycombinator.com | 18 Dec 2023

  • [D] Which framework do you use for applying post-training quantization on image classification models?

    1 project | /r/MachineLearning | 9 Dec 2023

  • Half-Quadratic Quantization of Large Machine Learning Models

    3 projects | news.ycombinator.com | 7 Dec 2023
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 2 May 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Index

What are some of the best open-source quantization projects? This list will help you:

Project Stars
1 LLaMA-Factory 20,248
2 Chinese-LLaMA-Alpaca 17,348
3 faster-whisper 8,899
4 pngquant 5,012
5 AutoGPTQ 3,781
6 Pretrained-Language-Model 2,960
7 deepsparse 2,878
8 CTranslate2 2,799
9 xTuring 2,523
10 mixtral-offloading 2,235
11 optimum 2,157
12 neural-compressor 1,964
13 aimet 1,908
14 model-optimization 1,470
15 mmrazor 1,365
16 intel-extension-for-pytorch 1,342
17 rwkv.cpp 1,100
18 nncf 819
19 tinyengine 740
20 finn 665
21 gpu_poor 623
22 quanto 575
23 SqueezeLLM 569

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