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<h1 style="text-align: center;">verl: Volcano Engine Reinforcement Learning for LLM</h1> verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of **[HybridFlow: A Flexible and Efficient RLHF Framework](https://arxiv.org/abs/2409.19256v...
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# verl documents ## Build the docs ```bash # Install dependencies. pip install -r requirements-docs.txt # Build the docs. make clean make html ``` ## Open the docs with your browser ```bash python -m http.server -d _build/html/ ``` Launch your browser and open localhost:8000.
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# Readme for verl(vllm>=0.7) version ## Installation Note: This version of veRL supports **FSDP** for training and **vLLM** for rollout. (Megatron-LM is not supported yet.) ``` # Create the conda environment conda create -n verl python==3.10 conda activate verl # Install verl git clone https://github.com/volcengine...
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========================================================= HybridFlow Programming Guide ========================================================= .. _vermouth: https://github.com/vermouth1992 Author: `Chi Zhang <https://github.com/vermouth1992>`_ verl is an open source implementation of the paper `HybridFlow <https:/...
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Welcome to verl's documentation! ================================================ .. _hf_arxiv: https://arxiv.org/pdf/2409.19256 verl is a flexible, efficient and production-ready RL training framework designed for large language models (LLMs) post-training. It is an open source implementation of the `HybridFlow <hf_...
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Extend to other RL(HF) algorithms ================================= We already implemented the complete training pipeline of the PPO algorithms. To extend to other algorithms, we analyze the high-level principle to use verl and provide a tutorial to implement the DPO algorithm. Users can follow the similar paradigm to...
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Add models with the FSDP backend ================================== Model -------------------------- In principle, our FSDP backend can support any HF model and we can sychronoize the actor model weight with vLLM using `hf_weight_loader.py <https://github.com/volcengine/verl/blob/main/verl/third_party/vllm/vllm_v_0_6...
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Add models with the Megatron-LM backend ========================================= Model ----------- The most challenging aspect to use the Megatron-LM backend is implementing the models for training. Currently, we implement Llama model that support data parallelism, tensor parallelism, pipeline parallelism (also vPP)...
{ "source": "volcengine/verl", "title": "docs/advance/megatron_extension.rst", "url": "https://github.com/volcengine/verl/blob/main/docs/advance/megatron_extension.rst", "date": "2024-10-31T06:11:15", "stars": 3801, "description": "verl: Volcano Engine Reinforcement Learning for LLMs", "file_size": 1688 }
Ray API Design Tutorial ======================================= We provide a tutorial for our Ray API design, including: - Ray basic concepts - Resource Pool and RayWorkerGroup - Data Dispatch, Execution and Collection - Initialize the RayWorkerGroup and execute the distributed computation in the given Resource Pool ...
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.. _config-explain-page: Config Explanation =================== ppo_trainer.yaml for FSDP Backend --------------------------------- Data ~~~~ .. code:: yaml data: tokenizer: null train_files: ~/data/rlhf/gsm8k/train.parquet val_files: ~/data/rlhf/gsm8k/test.parquet prompt_key: prompt ma...
{ "source": "volcengine/verl", "title": "docs/examples/config.rst", "url": "https://github.com/volcengine/verl/blob/main/docs/examples/config.rst", "date": "2024-10-31T06:11:15", "stars": 3801, "description": "verl: Volcano Engine Reinforcement Learning for LLMs", "file_size": 14782 }
GSM8K Example ============= Introduction ------------ In this example, we train an LLM to tackle the GSM8k task. Paper: https://arxiv.org/pdf/2110.14168 Dataset: https://huggingface.co/datasets/gsm8k Note that the original paper mainly focuses on training a verifier (a reward model) to solve math problems via Best...
{ "source": "volcengine/verl", "title": "docs/examples/gsm8k_example.rst", "url": "https://github.com/volcengine/verl/blob/main/docs/examples/gsm8k_example.rst", "date": "2024-10-31T06:11:15", "stars": 3801, "description": "verl: Volcano Engine Reinforcement Learning for LLMs", "file_size": 5986 }
PPO Example Architecture ======================== Let's start with the Proximal Policy Optimization algorithm, which is most widely used algorithm in LLM post-training. The main entry point of the PPO algorithm example is: `main_ppo.py <https://github.com/volcengine/verl/blob/main/verl/trainer/main_ppo.py>`_. In this...
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.. _algo-baseline-page: Algorithm Baselines =================== GSM8k ------------------ Assuming GSM8k dataset is preprocess via ``python3 examples/data_preprocess/gsm8k.py`` Refer to the table below to reproduce PPO training from different pre-trained models. .. _Huggingface: https://huggingface.co/google/gemma...
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Frequently Asked Questions ==================================== Ray related ------------ How to add breakpoint for debugging with distributed Ray? ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Please checkout the official debu...
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Performance Tuning Guide ============================== Author: `Guangming Sheng <https://github.com/PeterSH6>`_ In this section, we will discuss how to tune the performance of all the stages in verl, including: 1. Rollout generation throughput. 2. Enable `use_remove_padding=True` for sequence packing (i.e., data p...
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Prepare Data for Post-Training ======================================== Before starting the post-training job, we need to prepare the data for the policy training. The data should be stored in the parquet format. We provide several data preprocess scripts for different datasets, including GSM8K, MATH, HelloSwag, Full...
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Implement Reward Function for Dataset ====================================== For each dataset, we need to implement a reward function or utilize a reward model to compute the rewards for the generated responses. We already pre-implemented some reward functions in `reward_score directory <https://github.com/volcengine/...
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Installation ============ Requirements ------------ - **Python**: Version >= 3.9 - **CUDA**: Version >= 12.1 verl supports various backends. Currently, the following configurations are available: - **FSDP** and **Megatron-LM** (optional) for training. - **vLLM** adn **TGI** for rollout generation, **SGLang** suppor...
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.. _quickstart: ========================================================= Quickstart: PPO training on GSM8K dataset ========================================================= Post-train a LLM using GSM8K dataset. Introduction ------------ .. _hf_dataset_gsm8k: https://huggingface.co/datasets/gsm8k In this example, ...
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PyTorch FSDP Backend ====================== We support PyTorch FSDP Backend by implementing various workers for actor, critic, reference, rollout and reward models. We also implement the ``FSDPVLLMShardingManager`` that reshard weight between FSDP and vLLM in `fsdp_vllm.py <https://github.com/volcengine/verl/blob/main...
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Megatron-LM Backend ===================== We support Megatron Backend by implementing various workers for actor, critic, reference, rollout and reward models. We also implement the ``3DHybridEngine`` using Megatron-LM and vLLM in `megatron_vllm.py <https://github.com/volcengine/verl/blob/main/verl/workers/sharding_man...
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PPO Ray Trainer =============== We implement the RayPPOTrainer, which is a trainer runs on the driver process on a single CPU/GPU node (default is CPU). The PPORayTrainer include 3 core functions for data preparation, WorkerGroup initialization and PPO training loop. Data Preparation ---------------- The ``PPORayTr...
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# Split Placement Example Here we introduce how to run the naive implementation of the split placement of PPO algorithm. We will release the complete version of flexible placement in the near future. For quickstart, you can only follow Step 2 to modify the code and then follow Step 4 to execute the split placement ex...
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# Models Common modelzoo such as huggingface/transformers stuggles when using Pytorch native model parallelism. Following the design principle of vLLM, we keep a simple, parallelizable, highly-optimized with packed inputs in verl. ## Adding a New Huggingface Model ### Step 1: Copy the model file from HF to verl - Add ...
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# Detached Worker ## How to run (Only on a single node) - Start a local ray cluster: ```bash ray start --head --port=6379 ``` - Run the server ```bash python3 server.py ``` - On another terminal, Run the client ```bash python3 client.py ```
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# Dataset Format ## RLHF dataset We combine all the data sources into a single parquet files. We directly organize the prompt into the chat format so that multi-turn chats can be easily incorporated. In the prompt, we may add instruction following texts to guide the model output the answers in a particular format so th...
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# Digit completion This is an example of solving a digit completion problem. The problem is defined as below: The prompt is a sequence of numbers with fixed difference. The agent's goal is to complete the next N numbers. If the max number is reached, the next number should be modulo with max number. For example, - p...
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To discover where the widely used python package certifi reads its certificates from, run: python -m certifi Print the available filesystem types: cat /proc/filesystems # How can I set up gvisor to route packets from my TUN onwards to the internet, and back again? Clues: stack.LinkEndpoint and stack.Net...
{ "source": "monasticacademy/httptap", "title": "NOTES.md", "url": "https://github.com/monasticacademy/httptap/blob/main/NOTES.md", "date": "2024-10-15T13:11:47", "stars": 3800, "description": "View HTTP/HTTPS requests made by any Linux program", "file_size": 9143 }
<h1 align="center"> <img src="./docs/readme-header.webp" alt="Monastic Academy" height="450px"> <br> httptap </br> </h1> <p align="center"> <a href="https://pkg.go.dev/github.com/monasticacademy/httptap"><img src="https://img.shields.io/badge/go.dev-reference-007d9c?logo=go&logoColor=white&style=flat-square" ...
{ "source": "monasticacademy/httptap", "title": "README.md", "url": "https://github.com/monasticacademy/httptap/blob/main/README.md", "date": "2024-10-15T13:11:47", "stars": 3800, "description": "View HTTP/HTTPS requests made by any Linux program", "file_size": 17118 }
This is a DNS proxy that answers simple questions using Go's built-in resolver, which reads nsswitch.conf and resolv.conf and does a bunch of work to be as much like gethostbyname, or even use gethostbyname when available via cgo.
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See https://github.com/xjasonlyu/tun2socks/blob/main/core/tcp.go#L78 I may be able to use tun2socks off-the-shelf. The core piece is very nicely designed: https://github.com/xjasonlyu/tun2socks/blob/main/engine/engine.go#L227-L234 I should be able to use both the tunnel _and_ the proxy from tun2socks. I'll probably...
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Forked from https://github.com/vvakame/go-harlog net/http client logging by HAR format. Take http request/response log by HAR (HTTP Archive) format. It can visualize by [any](https://developers.google.com/web/updates/2017/08/devtools-release-notes#har-imports) [tools](https://toolbox.googleapps.com/apps/har_analyzer/...
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# 🚀 Welcome to 21st.dev! **[21st.dev](https://21st.dev)** is your go-to open-source community registry for **React UI components**! Whether you're a developer, designer, or just someone who loves building beautiful interfaces, 21st.dev is the place to **publish, discover, and install** minimal, modern, and reusable R...
{ "source": "serafimcloud/21st", "title": "README.md", "url": "https://github.com/serafimcloud/21st/blob/main/README.md", "date": "2024-09-30T10:56:10", "stars": 3796, "description": "npm for design engineers: largest marketplace of shadcn/ui-based React Tailwind components, blocks and hooks", "file_size"...
This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/create-next-app). ## Getting Started First, run the development server: ```bash npm run dev # or yarn dev # or pnpm dev # or bun dev ``` Open [http://localhost:3000](http://localhost:3000)...
{ "source": "serafimcloud/21st", "title": "apps/web/README.md", "url": "https://github.com/serafimcloud/21st/blob/main/apps/web/README.md", "date": "2024-09-30T10:56:10", "stars": 3796, "description": "npm for design engineers: largest marketplace of shadcn/ui-based React Tailwind components, blocks and hoo...
# `@turbo/eslint-config` Collection of internal eslint configurations.
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# Contributing **IMPORTANT:** This project only accepts contributions based on [lucide icons](https://lucide.dev/). Pull requests containing custom icons or icons from other icon packs will be closed. We welcome contributions to our project! Please follow these steps to contribute: 1. Fork the repository on GitHub. ...
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## `pqoqubbw/icons` is beautifully crafted animated icons. **Demo** → [icons.pqoqubbw.dev](https://icons.pqoqubbw.dev) ### Svelte icons: [movingicons.dev](https://www.movingicons.dev/) by [@jis3r](https://github.com/jis3r) ### Vue icons: [imfenghuang.github.io/icons](https://imfenghuang.github.io/icons/) by [@imfengh...
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## I have read the [CONTRIBUTING.md](https://github.com/pqoqubbw/icons/blob/main/CONTRIBUTING.md) file. YES/NO ## I have run `yarn gen-cli` to generate the necessary files YES/NO ## What kind of change does this PR introduce? Bug fix, feature, docs update, ... ## What is the new behavior? Feel free to include sc...
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<br /> <p align="center"> <a href="https://steel.dev"> <img src="images/steel_header_logo.png" alt="Steel Logo" width="100"> </a> </p> <h3 align="center"><b>Steel</b></h3> <p align="center"> <b>The open-source browser API for AI agents & apps.</b> <br /> The best way to build live web agents and browser au...
{ "source": "steel-dev/steel-browser", "title": "README.md", "url": "https://github.com/steel-dev/steel-browser/blob/main/README.md", "date": "2024-11-01T18:15:29", "stars": 3748, "description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance that let...
# Steel REPL This package provides a simple REPL to interact with the browser instance you've created using the API. The API exposes a WebSocket endpoint, allowing you to connect to the browser using Chrome DevTools Protocol (CDP) and use Puppeteer as usual. ## Quick Start 1. Ensure you have **Steel Browser** runni...
{ "source": "steel-dev/steel-browser", "title": "repl/README.md", "url": "https://github.com/steel-dev/steel-browser/blob/main/repl/README.md", "date": "2024-11-01T18:15:29", "stars": 3748, "description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instanc...
# React + TypeScript + Vite This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. Currently, two official plugins are available: - [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.i...
{ "source": "steel-dev/steel-browser", "title": "ui/README.md", "url": "https://github.com/steel-dev/steel-browser/blob/main/ui/README.md", "date": "2024-11-01T18:15:29", "stars": 3748, "description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance th...
--- name: Bug report about: Create a report to help us improve title: "[BUG] TITLE" labels: '' assignees: '' --- Issue tracker is **ONLY** used for reporting bugs. New features should be discussed in our [Discord server](https://discord.gg/steel-dev). **Describe the bug** A clear and concise description of what the ...
{ "source": "steel-dev/steel-browser", "title": ".github/ISSUE_TEMPLATE/bug_report.md", "url": "https://github.com/steel-dev/steel-browser/blob/main/.github/ISSUE_TEMPLATE/bug_report.md", "date": "2024-11-01T18:15:29", "stars": 3748, "description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Bro...
# Contributor Covenant Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender i...
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# Contributing to Bananas Screen Sharing Thanks for checking out Bananas Screen Sharing! We're excited to hear and learn from you. We've put together the following guidelines to help you figure out where you can best be helpful. ## Table of Contents 0. [Types of contributions we're looking for](#types-of-contributi...
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# Privacy Policy Effective Date: 2024-12-03 Your privacy is important to us. This Privacy Policy outlines how we handle and protect your information when you use Bananas Screen Sharing (the "App"). By using the App, you agree to the terms of this Privacy Policy. ### 1. Data Collection We do not collect, store, or ...
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<div align="center"> ![Bananas Screen Sharing Logo](logo.svg) # Bananas Screen Sharing [![Downloads](https://img.shields.io/github/downloads/mistweaverco/bananas/total.svg?style=for-the-badge)](https://getbananas.net/) [![GitHub release (latest by date)](https://img.shields.io/github/v/release/mistweaverco/bananas?s...
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# Security Policy ## Supported Versions Versions currently being supported with security updates. | Version | Supported | | ------- | ------------------ | | 0.0.x | :white_check_mark: | ## Reporting a Vulnerability Security vulnerabilites ahould be communicated with the maintainers in private. ### GitH...
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# Terms of Service Terms of Service for Bananas Screen Sharing Effective Date: 2024-12-03 These Terms of Service ("Terms") govern your use of the Bananas Screen Sharing (the "App"). By using the App, you agree to these Terms. If you do not agree to these Terms, you may not use the App. ### 1. Acceptance of Terms B...
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--- name: Bug report about: Create a report to help us improve title: '' labels: bug assignees: '' --- **Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll down to '....' 4. See error **Expected behavio...
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--- name: Feature request about: Suggest an idea for this project title: '' labels: enhancement assignees: '' --- **Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd like** A clear...
{ "source": "mistweaverco/bananas", "title": ".github/ISSUE_TEMPLATE/feature_request.md", "url": "https://github.com/mistweaverco/bananas/blob/main/.github/ISSUE_TEMPLATE/feature_request.md", "date": "2024-10-10T16:05:25", "stars": 3716, "description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made s...
# Contributing to Awesome MCP Servers Contributions are welcome and encouraged! Whether you're fixing a typo, adding a new server, or suggesting improvements, your help is appreciated. ## How to Contribute 1. **Fork the repository:** Click the "Fork" button in the top right corner of the GitHub page. 2. **Create a...
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# 素晴らしいMCPサーバー [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![English](https://img.shields.io/badge/English-Click-yellow)](README.md) [![中文文档](https://img.shields.io/badge/中文文档-点击查看-orange)](README-zh.md) [![日本語](https://img.shields.io/badge/日本語-クリック-青)](README-ja.md) [![Discord](https://img.shields...
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# 精选的 MCP 服务器 [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![English](https://img.shields.io/badge/English-Click-yellow)](README.md) [![中文文档](https://img.shields.io/badge/中文文档-点击查看-orange)](README-zh.md) [![日本語](https://img.shields.io/badge/日本語-クリック-青)](README-ja.md) [![Discord](https://img.shields....
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# Awesome MCP Servers [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![English](https://img.shields.io/badge/English-Click-yellow)](README.md) [![中文文档](https://img.shields.io/badge/中文文档-点击查看-orange)](README-zh.md) [![日本語](https://img.shields.io/badge/日本語-クリック-青)](README-ja.md) [![Discord](https://img....
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<h1 align="center">OmniGen: Unified Image Generation</h1> <p align="center"> <a href="https://vectorspacelab.github.io/OmniGen/"> <img alt="Build" src="https://img.shields.io/badge/Project%20Page-OmniGen-yellow"> </a> <a href="https://arxiv.org/abs/2409.11340"> <img alt="Build" src="ht...
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# Fine-tuning OmniGen Fine-tuning Omnigen can better help you handle specific image generation tasks. For example, by fine-tuning on a person's images, you can generate multiple pictures of that person while maintaining task consistency. A lot of previous work focused on designing new networks to facilitate specific ...
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# Inference with OmniGen To handle some complex tasks, image generation models are becoming increasingly sophisticated, leading to more and more cumbersome workflows. Existing image generation models like SD and Flux require loading many additional network modules (such as ControlNet, IP-Adapter, Reference-Net) and ex...
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# Agent Laboratory: Using LLM Agents as Research Assistants <p align="center"> <img src="media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【English | <a href="readme/README-chinese.md">中文</a> | <a href="readme/README-japanese.md">日本語</a> | <a hr...
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# مختبر الوكيل: استخدام وكلاء النماذج اللغوية الكبيرة كمساعدين بحثيين <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href...
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# এজেন্ট ল্যাবরেটরি: গবেষণা সহকারী হিসেবে LLM এজেন্ট ব্যবহার <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme...
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# Agent Laboratory: 使用大型语言模型代理作为研究助理 <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | 中文 | <a href="../readme/README-japanese.md">日本語</a> | <a href="../readme/README-korean.m...
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# آزمایشگاه ایجینت ها: استفاده از نمایندگان مدل‌های زبانی بزرگ به عنوان دستیار برای محققان <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese....
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# Agent Laboratory: Paggamit ng LLM Agents bilang mga Tagapag-Asistang Pang-research <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstrasyon ng daloy ng AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a>...
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# Laboratoire d'Agent : Utilisation des agents LLM comme assistants de recherche <p align="center"> <img src="../media/AgentLabLogo.png" alt="Démonstration du flux de AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <...
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# एजेंट लैबोरेटरी: अनुसंधान सहायकों के रूप में LLM एजेंटों का उपयोग <p align="center"> <img src="../media/AgentLabLogo.png" alt="AgentClinic के प्रवाह का प्रदर्शन" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readm...
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# Laboratorio Agenti: Utilizzo di Agenti LLM come Assistenti di Ricerca <p align="center"> <img src="../media/AgentLabLogo.png" alt="Dimostrazione del flusso di AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href...
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# Agent Laboratory: Using LLM Agents as Research Assistants <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | 日本語 | <a href="../...
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# Agent Laboratory: Using LLM Agents as Research Assistants <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme...
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# Agent Laboratory: Usando Agentes LLM como Assistentes de Pesquisa <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="....
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# Лаборатория Агентов: Использование агентов на основе больших языковых моделей в качестве научных ассистентов <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../re...
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# Agent Laboratory: Používanie LLM Agentov ako Výskumných Asistentov <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstrácia toku AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme/R...
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# Agent Laboratory: Using LLM Agents as Research Assistants <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demostración del flujo de AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme/R...
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# Agent Laboratuvarı: LLM Ajanlarını Araştırma Asistanı Olarak Kullanma <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a hre...
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# Agent Laboratory: Sử dụng Đại Diện LLM làm Trợ Lý Nghiên Cứu <p align="center"> <img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;"> </p> <p align="center"> 【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../rea...
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<h1 align='center'>Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation</h1> <div align='center'> <a href='https://github.com/cuijh26' target='_blank'>Jiahao Cui</a><sup>1*</sup>&emsp; <a href='https://github.com/crystallee-ai' target='_blank'>Hui Li</a><sup>1*</sup>&emsp; <a hre...
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<p align="center" style="border-radius: 10px"> <img src="asset/logo.png" width="35%" alt="logo"/> </p> # ⚡️Sana: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer ### <div align="center"> ICLR 2025 Oral Presentation <div> <div align="center"> <a href="https://nvlabs.github.io/Sana/"><im...
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<!--Copyright 2024 NVIDIA CORPORATION & AFFILIATES # # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
{ "source": "NVlabs/Sana", "title": "asset/docs/4bit_sana.md", "url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/4bit_sana.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", "file_size": 2148 }
<!-- Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applic...
{ "source": "NVlabs/Sana", "title": "asset/docs/8bit_sana.md", "url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/8bit_sana.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", "file_size": 7027 }
# 💻 How to Inference & Test Metrics (FID, CLIP Score, GenEval, DPG-Bench, etc...) This ToolKit will automatically inference your model and log the metrics results onto wandb as chart for better illustration. We curerntly support: - \[x\] [FID](https://github.com/mseitzer/pytorch-fid) & [CLIP-Score](https://github.co...
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## 🔥 1. We provide all the links of Sana pth and diffusers safetensor below | Model | Reso | pth link | diffusers ...
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{ "source": "NVlabs/Sana", "title": "asset/docs/sana_controlnet.md", "url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/sana_controlnet.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", "file_size...
# DreamBooth training example for SANA [DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject. The `train_dreambooth_lora_sana.py` script shows how to implement the training procedure with [LoRA](https://huggingface....
{ "source": "NVlabs/Sana", "title": "asset/docs/sana_lora_dreambooth.md", "url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/sana_lora_dreambooth.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", ...
## 🖌️ Sana-ComfyUI [Original Repo](https://github.com/city96/ComfyUI_ExtraModels) ### Model info / implementation - Uses Gemma2 2B as the text encoder - Multiple resolutions and models available - Compressed latent space (32 channels, /32 compression) - needs custom VAE ### Usage 1. All the checkpoints will be do...
{ "source": "NVlabs/Sana", "title": "asset/docs/ComfyUI/comfyui.md", "url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/ComfyUI/comfyui.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", "file_size...
# CLIP Score for PyTorch [![PyPI](https://img.shields.io/pypi/v/clip-score.svg)](https://pypi.org/project/clip-score/) This repository provides a batch-wise quick processing for calculating CLIP scores. It uses the pretrained CLIP model to measure the cosine similarity between two modalities. The project structure is...
{ "source": "NVlabs/Sana", "title": "tools/metrics/clip-score/README.md", "url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/clip-score/README.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", ...
# GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment This repository contains code for the paper [GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment](https://arxiv.org/abs/2310.11513) by Dhruba Ghosh, Hanna Hajishirzi, and Ludwig Schmidt. TLDR: We demonstrate the adva...
{ "source": "NVlabs/Sana", "title": "tools/metrics/geneval/README.md", "url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/geneval/README.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", "file_...
# Changelog ## \[0.3.0\] - 2023-01-05 ### Added - Add argument `--save-stats` allowing to compute dataset statistics and save them as an `.npz` file ([#80](https://github.com/mseitzer/pytorch-fid/pull/80)). The `.npz` file can be used in subsequent FID computations instead of recomputing the dataset statistics. This...
{ "source": "NVlabs/Sana", "title": "tools/metrics/pytorch-fid/CHANGELOG.md", "url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/pytorch-fid/CHANGELOG.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transfor...
[![PyPI](https://img.shields.io/pypi/v/pytorch-fid.svg)](https://pypi.org/project/pytorch-fid/) # FID score for PyTorch This is a port of the official implementation of [Fréchet Inception Distance](https://arxiv.org/abs/1706.08500) to PyTorch. See [https://github.com/bioinf-jku/TTUR](https://github.com/bioinf-jku/TTU...
{ "source": "NVlabs/Sana", "title": "tools/metrics/pytorch-fid/README.md", "url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/pytorch-fid/README.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer", ...
# a fast implementation of linear attention ## 64x64, fp16 ```bash # validate correctness ## fp16 vs fp32 python -m develop_triton_litemla attn_type=LiteMLA test_correctness=True ## triton fp16 vs fp32 python -m develop_triton_litemla attn_type=TritonLiteMLA test_correctness=True # test performance ## fp16, forward ...
{ "source": "NVlabs/Sana", "title": "diffusion/model/nets/fastlinear/readme.md", "url": "https://github.com/NVlabs/Sana/blob/main/diffusion/model/nets/fastlinear/readme.md", "date": "2024-10-11T20:19:45", "stars": 3449, "description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Tr...
<p align="left"> <a href="README_CN.md">中文</a> &nbsp| &nbsp English&nbsp&nbsp | &nbsp<a href="README_JP.md">日本語</a> </p> <br><br> # Step-Audio <p align="center"> <img src="assets/logo.png" height=100> </p> <div align="center"> <a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/sta...
{ "source": "stepfun-ai/Step-Audio", "title": "README.md", "url": "https://github.com/stepfun-ai/Step-Audio/blob/main/README.md", "date": "2025-02-11T05:35:12", "stars": 3434, "description": null, "file_size": 35100 }
<p align="left"> 中文</a>&nbsp | &nbsp<a href="README.md">English</a>&nbsp | &nbsp<a href="README_JP.md">日本語</a> </p> <br><br> # Step-Audio <p align="center"> <img src="assets/logo.png" height=100> </p> <div align="center"> <a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/static/v...
{ "source": "stepfun-ai/Step-Audio", "title": "README_CN.md", "url": "https://github.com/stepfun-ai/Step-Audio/blob/main/README_CN.md", "date": "2025-02-11T05:35:12", "stars": 3434, "description": null, "file_size": 29107 }
<p align="left"> <a href="README_CN.md">中文</a> &nbsp | &nbsp<a href="README.md">English</a>&nbsp | &nbsp 日本語&nbsp </p> <br><br> # Step-Audio <p align="center"> <img src="assets/logo.png" height=100> </p> <div align="center"> <a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/stati...
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# Contributor Covenant Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex ch...
{ "source": "corbt/agent.exe", "title": "CODE_OF_CONDUCT.md", "url": "https://github.com/corbt/agent.exe/blob/main/CODE_OF_CONDUCT.md", "date": "2024-10-23T06:55:13", "stars": 3396, "description": null, "file_size": 3365 }
**Note**: please consider this project a proof of concept. I don't intend to maintain it or merge pull requests. Feel free to fork and build it into something great! ### Introduction Presenting **Agent.exe**: the easiest way to let Claude's new [computer use](https://www.anthropic.com/news/3-5-models-and-computer-use...
{ "source": "corbt/agent.exe", "title": "README.md", "url": "https://github.com/corbt/agent.exe/blob/main/README.md", "date": "2024-10-23T06:55:13", "stars": 3396, "description": null, "file_size": 1958 }
# JStack - Build fast, lightweight and end-to-end typesafe Next.js apps Built on Next.js 15, Hono, Tailwind and Drizzle ORM. ![Project Thumbnail](https://github.com/upstash/jstack/blob/main/www/public/thumbnail.png) ## About Appreciate you for checking out JStack! For features & docs, see: https://jstack.app/ Che...
{ "source": "upstash/jstack", "title": "README.md", "url": "https://github.com/upstash/jstack/blob/main/README.md", "date": "2024-09-03T08:31:54", "stars": 3328, "description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps", "file_size": 567 }
## JStack Ship high-performance Next.js apps for extremely cheap
{ "source": "upstash/jstack", "title": "app/README.md", "url": "https://github.com/upstash/jstack/blob/main/app/README.md", "date": "2024-09-03T08:31:54", "stars": 3328, "description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps", "file_size": 65 }
This CLI is built by looking at how the [T3 Stack](https://create.t3.gg/) built their CLI. The credit for this CLI and how it's structured goes to them.
{ "source": "upstash/jstack", "title": "cli/README.md", "url": "https://github.com/upstash/jstack/blob/main/cli/README.md", "date": "2024-09-03T08:31:54", "stars": 3328, "description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps", "file_size": 152 }
## JStack Ship high-performance Next.js apps for extremely cheap Stuff to improve - footer padding - docs "on this page" visual bug - add docs for: - procedures - cloudflare deployment - vercel deployment
{ "source": "upstash/jstack", "title": "www/README.md", "url": "https://github.com/upstash/jstack/blob/main/www/README.md", "date": "2024-09-03T08:31:54", "stars": 3328, "description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps", "file_size": 218 }
## JStack Ship high-performance Next.js apps for extremely cheap
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# entropix Entropy Based Sampling and Parallel CoT Decoding The goal is to use entropy to make context aware sampling. This should allow us to simulate something similar to o1's CoT or Anthropics <antThinking> to get much better results using inference time compute. This project is a research project and a work in pr...
{ "source": "xjdr-alt/entropix", "title": "README.md", "url": "https://github.com/xjdr-alt/entropix/blob/main/README.md", "date": "2024-10-03T01:02:51", "stars": 3320, "description": "Entropy Based Sampling and Parallel CoT Decoding ", "file_size": 6402 }
#TODO ## Repo - Code and Docs cleanup (this is very hacky right now) - Concept explanation and simple impelmentation examples ## Vanilla Sampler - Repition penalties (DRY, Frequency, etc) - min_p ## Entropy Sampler - Base sampler with dynamic thresholds and no beam / best of N ## Model - TPU Splash, TPU Paged...
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