Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
- fine-tuning
- llama
- llm
- peft
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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
TranslatedChinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models
TranslatedMedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. Training medical large models, implementing incremental pre-training (PT), supervised fine-tuning (SFT), RLHF, DPO, ORPO, and GRPO.
OpenClaw-RL: Train any agent simply by talking
Robust recipes to align language models with human and AI preferences
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Align Anything: Training All-modality Model with Feedback
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
从零构建大模型:从预训练到RLHF的完整实践