Tags: #finetuning

A production-ready, extensible AI agent framework designed for building, deploying, and understanding intelligent agents powered by advanced LLMs, with built-in finetuning and multi-agent orchestration.

A comprehensive platform enabling users to create personalized AI twins by fine-tuning Large Language Models with their unique chat history, capturing individual style and bringing digital selves to life.

An official guide and collection of recipes for building applications with the Llama model family, covering inference, fine-tuning, and RAG.

A hands-on course to learn LLMs, LLMOps, and vector databases by building, training, and deploying a real-time financial advisor LLM system.

An end-to-end platform for fine-tuning, evaluating, and deploying open-source Large Language Models (LLMs) and Vision Language Models (VLMs).

A collection of guides and code for efficiently fine-tuning large language models using PEFT (LoRA) and Hugging Face transformers.

A cost-effective solution for finetuning ChatGLM-6B with LoRA, enabling personalized large language models.

An open-source implementation for efficiently fine-tuning Alibaba Cloud's Qwen-VL series of multimodal large language models using HuggingFace and Liger-Kernel.

A feature-rich web GUI for ChatGPT and various LLMs, offering advanced functionalities like agents, file-based QA, web search, and finetuning with a refined user experience.

A toolkit for finetuning ChatGLM series models (ChatGLM-6B, ChatGLM2-6B, ChatGLM3-6B) using various methods like Freeze, Lora, P-tuning, and full parameter training for downstream NLP tasks.

A high-performance, no-abstraction toolkit providing recipes for pretraining, finetuning, and deploying over 20 large language models at scale.