Tags: big model fine-tuning

Second Me is an open source project developed by the Mindverse team that lets you create an AI on your computer that acts like a "digital doppelganger", learning your speech and habits through your words and memories, and turning it into a smart assistant that understands you. Its best feature is that all the numbers...

Comprehensive Introduction Easy Dataset is an open source tool designed specifically for fine-tuning large models (LLMs), hosted on GitHub. It provides an easy-to-use interface that allows users to upload files, automatically segment content, generate questions and answers, and ultimately output structured datasets suitable for fine-tuning. Open ...

Comprehensive Introduction MM-EUREKA is an open source project developed by Shanghai Artificial Intelligence Laboratory, Shanghai Jiao Tong University and other parties. It extends textual reasoning capabilities to multimodal scenarios through rule-based reinforcement learning techniques to help models process image and textual information. The core goal of this tool is to improve...

General Introduction AI Toolkit by Ostris is an open source AI toolset focused on supporting Stable Diffusion and FLUX.1 models for training and image generation tasks. Created and maintained by developer Ostris and hosted on GitHub, the toolkit aims to provide researchers and developers with flexible model micro...

General Introduction X-R1 is a reinforcement learning framework open-sourced on GitHub by the dhcode-cpp team, aiming to provide developers with a low-cost, efficient tool for training models based on end-to-end reinforcement learning. The project is inspired by DeepSeek-R1 and open-r1 and focuses on building...

General Introduction OpenManus-RL is an open source project jointly developed by UIUC-Ulab and the OpenManus team of the MetaGPT community, hosted on GitHub.The project enhances the reasoning and decision-making capabilities of large language model (LLM) intelligences through reinforcement learning (RL) techniques, based on Deepseek-R1, QwQ-32B ...

Comprehensive Introduction TPO-LLM-WebUI is an innovative project open-sourced by Airmomo on GitHub that enables real-time optimization of Large Language Models (LLMs) through an intuitive web interface. It uses the TPO (Test-Time Prompt Optimization) framework to completely say goodbye to the traditional fine-tuning of the tedious process of ...

General Introduction Open-Reasoner-Zero is an open source project focused on reinforcement learning (RL) research, developed by the Open-Reasoner-Zero team on GitHub. It aims to accelerate the research process in the field of artificial intelligence by providing an efficient, scalable and easy-to-use training framework, especially to the pass...

Comprehensive Introduction The Chinese DeepSeek-R1 distillation dataset is an open source Chinese dataset containing 110K pieces of data designed to support machine learning and natural language processing research. The dataset is released by Cong Liu's NLP team. The dataset contains not only mathematical data, but also a large amount of general types of data, such as logical reasoning...

Comprehensive Introduction ColossalAI is an open source platform developed by HPC-AI Technologies to provide an efficient and cost-effective solution for large-scale AI model training and inference. By supporting multiple parallelization strategies, heterogeneous memory management, and mixed-precision training, ColossalAI is able to significantly reduce model training and inference...

General Introduction One Shot LoRA is a platform focused on generating high quality video LoRA models from videos. Users can quickly and easily train high-quality LoRA models from videos without logging in or storing private data. The platform supports Hunyuan Video, FLUX and SDXL models...

Comprehensive Introduction Kiln is an open source tool focused on fine-tuning large language models (LLMs), synthetic data generation and dataset collaboration. It provides an intuitive desktop application with support for Windows, MacOS and Linux, allowing users to implement models such as Llama, GPT4o and Mixtral with zero code...

Comprehensive Introduction Maestro is a tool developed by Roboflow to simplify and accelerate the process of fine-tuning multimodal models, so that everyone can train their own visual macromodels. It provides ready-made recipes for fine-tuning popular visual language models (VLMs) such as Florence-2, PaliGemma ...

Comprehensive Introduction LlamaEdge is an open source project designed to simplify the process of running and fine-tuning large language models (LLMs) on local or edge devices. The project supports the Llama2 family of models and provides OpenAI-compatible API services that enable users to easily create and run LLM reasoning applications.LlamaE...

General Introduction Unsloth is an open source project designed to provide efficient tools for fine-tuning and training large language models (LLMs). The project supports a wide range of well-known models, including Llama, Mistral, Phi, and Gemma, etc. Unsloth's main features are the ability to significantly reduce memory usage and speed up training...

General Introduction Bakery is a platform designed for AI startups, machine learning engineers and researchers to provide simple and efficient AI model fine-tuning and monetization services. Users can access community-driven datasets through Bakery, create or upload their own datasets, fine-tune model settings, and market...

Comprehensive Introduction NVIDIA Garak is an open source tool that specializes in detecting vulnerabilities in Large Language Models (LLMs). It checks the model for multiple weaknesses such as illusions, data leakage, hint injection, error message generation, harmful content generation, etc. through static, dynamic and adaptive probing.Garak resembles ...

Comprehensive Introduction ModelScope Swift (MS-Swift for short) is an efficient lightweight infrastructure designed for fine-tuning, reasoning, evaluating, and deploying large models (LLMs) and multimodal large models (MLLMs). The framework supports over 400 LLMs and 100+ MLLMs, providing everything from model training, evaluation...

General Introduction LLaMA-Factory is a unified and efficient fine-tuning framework that supports flexible customization and efficient training of more than 100 large language models (LLMs). Through the built-in LLaMA Board web interface, users can fine-tune their models without writing code. The framework integrates a variety of advanced training...