Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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Updated
Mar 3, 2025 - Python
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Low-code framework for building custom LLMs, neural networks, and other AI models
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
OML 1.0 via Fingerprinting: Open, Monetizable, and Loyal AI
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
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