Awesome LLM Resources
Section: 微调 Fine-Tuning · Easy-to-use and powerful NLP and LLM library.
Entry
Appears in 4 awesome lists
Easy-to-use and powerful LLM library built on Baidu's PaddlePaddle framework. Supports 100+ models with efficient training, compression, and high-performance inference on diverse hardware. Features RsLoRA+ algorithm, DeepSeek V3/R1 support with FP8/INT8 quantization, and unified checkpointing.…
Section: 微调 Fine-Tuning · Easy-to-use and powerful NLP and LLM library.
Section: 7. Training & Fine-tuning Ecosystem · Easy-to-use and powerful LLM library built on Baidu's PaddlePaddle framework. Supports 100+ models with efficient training, compression, and high-performance inference on diverse hardware. Features RsLoRA+ algorithm, DeepSeek V3/R1 support with FP8/INT8 quantization, and unified checkpointing.…
Section: Industry Strength Natural Language Processing · PaddleNLP is a Large Language Model (LLM) development suite based on the PaddlePaddle deep learning framework, supporting efficient large model training, lossless compression, and high-performance inference on various hardware devices.
Section: Other · Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…