StyxXuan

StyxXuan's Stars

• EricLBuehler/xlora

  X-LoRA: Mixture of LoRA Experts

  Language:Python1768

• JayZhang42/FederatedGPT-Shepherd

  Shepherd: A foundational framework enabling federated instruction tuning for large language models

  Language:Python20331

• aHuiWang/plot_demo

  论文里可以用到的实验图示例

  Language:Python20254

• JetRunner/TuPaTE

  Code for EMNLP 2022 paper "Efficiently Tuned Parameters are Task Embeddings"

  Language:Python81

• TUDB-Labs/mLoRA

  An Efficient "Factory" to Build Multiple LoRA Adapters

  Language:Python27250

• thunlp/OpenNE

  An Open-Source Package for Network Embedding (NE)

  Language:Python1.7k486

• XueFuzhao/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  96874

• predibase/lorax

  Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

  Language:Python2.2k144

• xlang-ai/instructor-embedding

  [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

  Language:Python1.9k135

• punica-ai/punica

  Serving multiple LoRA finetuned LLM as one

  Language:Python98246

• S-LoRA/S-LoRA

  S-LoRA: Serving Thousands of Concurrent LoRA Adapters

  Language:Python1.8k98

• calpt/awesome-adapter-resources

  Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

  Language:Python1759

• for-ai/parameter-efficient-moe

  Language:Python24716

• SkunkworksAI/hydra-moe

  Language:Python41115

• allenai/hyperdecoders

  Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304

  Language:Python122

• allenai/hyper-task-descriptions

  Learning adapter weights from task descriptions

  Language:Python151

• lucidrains/mixture-of-experts

  A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

  Language:Python64149

• freshtaste/CausalModel

  CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.

  Language:Jupyter Notebook145

• bigscience-workshop/promptsource

  Toolkit for creating, sharing and using natural language prompts.

  Language:Python2.7k352

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python34.4k4.2k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook14k1.9k

• kojima-takeshi188/zero_shot_cot

  Prod Env

  Language:Python38564

• Anni-Zou/Meta-CoT

  Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models

  Language:Python876

• kbressem/medAlpaca

  LLM finetuned for medical question answering

  Language:Python49057

• google-research/FLAN

  Language:Python1.5k156

• suzgunmirac/BIG-Bench-Hard

  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

  42628

• InfiAgent/InfiAgent.github.io

  InfiAgent website

  Language:JavaScript22

• sail-sg/lorahub

  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

  Language:Python59436

• abacusai/Long-Context

  This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and benchmark tasks that evaluate a model’s information retrieval capabilities with context expansion. We also include key experimental results and instructions for reproducing and building on them.

  Language:Python58137

• CStanKonrad/long_llama

  LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.

  Language:Python1.4k85