Kaiseem

Kaiseem's Stars

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.3k72420827

• FedML-AI/FedML

  FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

  Language:Python4.2k118327789

• neuralmagic/deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  Language:Python3.1k58141177

• jiaweizzhao/GaLore

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

  Language:Python1.5k1955154

• alibaba/FederatedScope

  An easy-to-use federated learning platform

  Language:Python1.3k15212218

• HuangOwen/Awesome-LLM-Compression

  Awesome LLM compression research papers and tools.

  1.3k42686

• AGI-Edgerunners/LLM-Adapters

  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

  Language:Python1.1k1161106

• princeton-nlp/MeZO

  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

  Language:Python1.1k194067

• ThuCCSLab/Awesome-LM-SSP

  A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

  1.1k222370

• OpenLMLab/LOMO

  LOMO: LOw-Memory Optimization

  Language:Python979127169

• SafeAILab/EAGLE

  Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)

  Language:Python9041315794

• YuxinWenRick/hard-prompts-made-easy

  Language:Python62391957

• intel/xFasterTransformer

  Language:C++389168865

• weavel-ai/Ape

  Your first AI prompt engineer

  Language:Python3552714

• rui-ye/OpenFedLLM

  Language:Python35031457

• princeton-nlp/AutoCompressors

  [EMNLP 2023] Adapting Language Models to Compress Long Contexts

  Language:Python29292522

• jeffreysijuntan/lloco

  The official repo for "LLoCo: Learning Long Contexts Offline"

  Language:Python114339

• Hannibal046/xRAG

  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

  Language:Jupyter Notebook1082129

• AvivNavon/DWSNets

  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]

  Language:Jupyter Notebook865512

• shizhediao/Black-Box-Prompt-Learning

  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"

  Language:Python55167

• declare-lab/della

  DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

  Language:Python29012

• uiuctml/Localize-and-Stitch

  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

  Language:Python22110

• MrGGLS/BlockPruner

  A block pruning framework for LLMs.

  Language:Python15212

• arumaekawa/DiLM

  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".

  Language:Python14112

• arumaekawa/text-dataset-distillation

  Language:Python12100

• Dereck0602/Bolaco

  Language:Python9110

• amazon-science/mezo_svrg

  Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"

  Language:Python7220

• Eyr3/PrivacyAsst

  PrivacyAsst: Safeguarding User Privacy in Tool-Using Large Language Model Agents (TDSC 2024)

  Language:Python7212

• Kaiseem/IST

  Official implement for EMNLP24 "Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models"

  7100

• kiwi12138/kiwi12138.github.io

  Language:HTML1001