Executedone

Executedone's Stars

• hiyouga/LLaMA-Factory

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

  Language:Python37.7k2205.7k4.6k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python33.5k2755.9k5.1k

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo23.5k2672.3k2.6k

• mendableai/firecrawl

  🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

  Language:TypeScript21.5k1164231.7k

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python20.4k1351.2k1.4k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python15.3k1121.1k1.2k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python15k1231.2k1.4k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.8k2122.4k2.6k

• modelscope/facechain

  FaceChain is a deep-learning toolchain for generating your Digital-Twin.

  Language:Jupyter Notebook9.2k89352864

• THUDM/CodeGeeX

  CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

  Language:Python8.3k88222614

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  6.2k9411340

• mnotgod96/AppAgent

  AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

  Language:Python5.3k7087580

• QwenLM/Qwen-VL

  The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

  Language:Python5.3k50456403

• CrazyBoyM/llama3-Chinese-chat

  Llama3、Llama3.1 中文仓库（随书籍撰写中... 各种网友及厂商微调、魔改版本有趣权重 & 训练、推理、评测、部署教程视频 & 文档）

  Language:Python4.1k4654338

• atfortes/Awesome-LLM-Reasoning

  Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

  2.2k403127

• microsoft/Megatron-DeepSpeed

  Ongoing research training transformer language models at scale, including: BERT & GPT-2

  Language:Python1.9k25184345

• Ucas-HaoranWei/Vary

  [ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.

  Language:Python1.8k54137161

• KwaiKEG/KwaiAgents

  A generalized information-seeking agent system with Large Language Models (LLMs).

  Language:Python1.1k2143111

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook7101419120

• ezelikman/quiet-star

  Code for Quiet-STaR

  Language:Python693121389

• GAIR-NLP/MathPile

  [NeurlPS D&B 2024] Generative AI for Math: MathPile

  Language:Python4007521

• HKUNLP/ChunkLlama

  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

  Language:Python37772119

• sanderwood/bgpt

  Beyond Language Models: Byte Models are Digital World Simulators

  Language:Python3144420

• alibaba/ChatLearn

  A flexible and efficient training framework for large-scale alignment tasks

  Language:Python269132420

• yuhuixu1993/qa-lora

  Official PyTorch implementation of QA-LoRA

  Language:Python12243711

• billvsme/my_openai_api

  部署你自己的OpenAI api🤩, 基于flask, transformers (使用 Baichuan2-13B-Chat-4bits 模型, 可以运行在单张Tesla T4显卡) ，实现了OpenAI中Chat, Models和Completions接口，包含流式响应

  Language:Python87268

• VITA-Group/LiGO

  [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim

  Language:Python852629

• locuslab/edge-of-stability

  Language:Python624119

• formll/dog

  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

  Language:Python58322

• zyushun/hessian-spectrum

  Code for the paper: Why Transformers Need Adam: A Hessian Perspective

  Language:Jupyter Notebook46104