Alternatives and similar repositories for quantization-intro:

Users that are interested in quantization-intro are comparing it to the libraries listed below

• pacman100 / openhathi_instruct
  This repository contains the code for dataset curation and finetuning of instruct variant of the Bilingual OpenHathi model. The resultin…
  ☆23Updated last year
• ShareChatAI / MACD
  ☆16Updated 10 months ago
• google-research-datasets / indic-gen-bench
  IndicGenBench is a high-quality, multilingual, multi-way parallel benchmark for evaluating Large Language Models (LLMs) on 4 user-facing …
  ☆42Updated 4 months ago
• AI4Bharat / Shoonya
  Shoonya - Platform to Annotate and label data at scale.
  ☆52Updated 4 months ago
• nyunAI / Faster-LLM-Survey
  ☆40Updated 8 months ago
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆99Updated 3 months ago
• Upaya07 / NeurIPS-llm-efficiency-challenge
  Code for NeurIPS LLM Efficiency Challenge
  ☆54Updated 9 months ago
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆88Updated 9 months ago
• microsoft / xtreme-distil-transformers
  XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale
  ☆154Updated last year
• hamelsmu / llama-inference
  experiments with inference on llama
  ☆104Updated 7 months ago
• kyleliang919 / Long-context-transformers
  Exploring finetuning public checkpoints on filter 8K sequences on Pile
  ☆115Updated last year
• abacaj / transformers
  Understanding large language models
  ☆118Updated last year
• IlyasMoutawwakil / py-txi
  A Python wrapper around HuggingFace's TGI (text-generation-inference) and TEI (text-embedding-inference) servers.
  ☆34Updated last month
• rashmimarganiatgithub / LLMS_Library_2023
  LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
  ☆68Updated last year
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆125Updated last year
• sayakpaul / count-tokens-hf-datasets
  This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Data…
  ☆24Updated 2 years ago
• chsasank / llama.lisp
  Lisp dialect designed for HPC and AI
  ☆16Updated this week
• abhishekkrthakur / chaii-hindi-tamil-question-answering
  chaii: hindi and tamil question answering
  ☆36Updated 3 years ago
• philschmid / optimum-static-quantization
  ☆28Updated last year
• Rallio67 / language-model-agents
  Experiments with generating opensource language model assistants
  ☆97Updated last year
• abhijithneilabraham / Covid-QA
  covid question answering datasets and fine tuned models
  ☆19Updated 3 years ago
• nipunsadvilkar / roberta-base-mr
  RoBERTa Marathi Language model trained from scratch during huggingface 🤗 x flax community week
  ☆27Updated 3 years ago
• hamelsmu / ft-drift
  Check for data drift between two OpenAI multi-turn chat jsonl files.
  ☆37Updated 9 months ago
• AI4Bharat / IndicBERT
  Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME
  ☆80Updated 4 months ago
• SeanNaren / min-LLM
  Minimal code to train a Large Language Model (LLM).
  ☆167Updated 2 years ago
• deep-diver / Continuous-Adaptation-for-Machine-Learning-System-to-Data-Changes
  https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html
  ☆28Updated 3 years ago
• paperswithcode / tutorials
  Basic guidance on how to contribute to Papers with Code
  ☆20Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago