Tags: big model fine-tuning Page 2

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...

General Introduction Petals is an open source project developed by the BigScience Workshop to run Large Language Models (LLMs) through a distributed computing approach. Users can run and fine-tune LLMs at home using consumer-grade GPUs or Google Colab, such as Llama 3.1, Mixtral, F...

Comprehensive Introduction Forefront AI is an advanced AI platform that focuses on the customization and deployment of open source models. Users can select and fine-tune a variety of powerful AI models, such as GPT-4, GPT-3.5, etc., to meet different task requirements. The platform supports uploading documents such as PDF, Word, PPT, etc., with AI into...