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A minimum example of aligning language models with RLHF similar to ChatGPT
The main features of ethanyanjiali/minchatgpt are: Open Source Models.
Projects with overlapping indexed features include: xorbitsai/inference — This project is a platform for the deployment of open source large language and multimodal models. It provides a… openlm-research/open_llama — Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed… tencentcloudadp/youtu-agent — Youtu Agent is an open-source framework for building, running, and evaluating autonomous agents powered by large… carperai/trlx — trlx is a reinforcement learning library and training framework designed to align large language models using human… deepseek-ai/deepseek-v3 — DeepSeek-V3 is a large language model that provides comprehensive resources for model utilization, including technical… databrickslabs/dolly — Dolly is an instruction-tuned large language model designed to follow complex natural language directions. It operates…
This project is a platform for the deployment of open source large language and multimodal models. It provides a unified interface to serve text, image, and speech models across local or cloud hardware. The system enables distributed AI inference by orchestrating model workloads across multiple nodes and devices. It includes a unified API adapter layer to standardize inputs and outputs, as well as tools for multimodal chat and structural image generation. The platform covers a broad capability surface including request batching for throughput optimization, dynamic model loading, and integrat
Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed alternative to proprietary weights. It serves as a base model reproduction of the Llama architecture, providing a set of weights for a decoder-only transformer. The project provides a transparently trained model based on the RedPajama dataset, supporting unrestricted commercial and research use. It includes systems for serving pre-trained weights in various sizes. The project covers natural language processing research and performance benchmarking through text quality evaluation
Youtu Agent is an open-source framework for building, running, and evaluating autonomous agents powered by large language models. It provides the core infrastructure for creating agents that follow reasoning loops, use toolkits, and coordinate with other agents to solve complex tasks, all managed through YAML-driven configuration files. The framework distinguishes itself through its support for multi-agent orchestration, where a planner agent decomposes tasks and coordinates specialized worker agents, and through its integration with the Model Context Protocol for connecting to external toolk
trlx is a reinforcement learning library and training framework designed to align large language models using human feedback. It serves as a distributed trainer and compute orchestrator for scaling high-parameter models across multiple GPUs and nodes. The project provides tools for reinforcement learning from human feedback and model alignment. It implements reward-model-based optimization and proximal policy optimization to refine model behavior based on goal-oriented rewards or human-labeled datasets. The framework covers distributed training strategies, including model parallelism, parame