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Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。
Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集
ChatGLM-Efficient-Tuning is a fine-tuning framework and toolkit designed to optimize large language models using parameter-efficient fine-tuning techniques. It provides a pipeline for adjusting model behavior and reducing the memory and compute requirements necessary for training. The project features a web-based trainer and orchestration interface for configuring and executing the fine-tuning process on a single GPU. It supports quantized training in lower precision formats to enable fine-tuning on hardware with limited memory, as well as reinforcement learning from human feedback for model
Chinese large language model base generated through incremental pre-training on Chinese datasets
The main features of openlmlab/openchinesellama are: LLM Frameworks, Natural Language Processing, Text LLM Models.
Projects with overlapping indexed features include: dandelionsllm/pandallm — Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。. ibm/dromedary — Dromedary: towards helpful, ethical and reliable LLMs. cvi-szu/linly — Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集. deep-diver/llm-as-chatbot — LLM as a Chatbot Service. hiyouga/chatglm-efficient-tuning — ChatGLM-Efficient-Tuning is a fine-tuning framework and toolkit designed to optimize large language models using… lightning-ai/lit-llama — Lit-llama is a PyTorch-based implementation framework for the LLaMA language model, providing a system for…
