LLM研究社区开始发布相关开源变体。最早的开源语言模型在性能上落后于最佳的专有模型，不过，它们为提升LLM...
中文友好或国内主创的开源模型（Chinese Open Source Language Models）多个领域/通用 百川中文Alpaca Luotuo中文LLaMA&Alpaca大模型 中文LLaMA&Alpaca大模型2流萤Firefly凤凰 复旦MOSS复旦MOSS-RLHF悟道·天鹰Aquila&Aquila2 雅意大模型通义千问Qwen活字3.0 AnimaBayLingBELLE BloomBiLLaBLOOMChat176B Chinese-Llama-2-7b ...
在三个不同的数据集上研究扩展规律,包括早期内部数据、当前内部数据和OpenWebText2。 分析数据质量对最优模型/数据扩展策略的影响。 模型训练实验: 使用HAI-LLM框架训练DeepSeek LLM 7B和67B模型。 在训练过程中应用了数据并行、张量并行、序列并行和1F1B流水线并行等技术。
The proposal of the LLaMA suite [2] of large language models (LLMs) led to a surge in publications on the topic of open-source LLMs. In many cases, the goal of these works was to cheaply produce…
Deepseek学习笔记01:《DeepSeek LLM: Scaling Open-Source Language Models with Longtermism》 这是DeepSeek的第一篇论文,主要讲的是对META的LLaMA 2开源模型的复现,虽然说是一个模仿实验,但可以从文章中发现DS严谨的研究态度。研究中主要有两个创新点:
在这篇 1 月 22 日的论文《WARM: On the Benefits of Weight Averaged Reward Models》中,研究者提出了一种用于 LLM 奖励模型的权重平均方法。这里的奖励模型是指在用于对齐的 RLHF 中使用的奖励模型。 何为权重平均?因为用于 LLM 的权重平均和模型融合可能会成为 2024 年最有趣的研究主题,在深入介绍这篇 WA...
Open-source assistant-style large language models that run locally on your CPU. GPT4All is made possible by our compute partner Paperspace. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. ...
简介:This repo aims at recording open source ChatGPT, and providing an overview of how to get involved, including: base models, technologies, data, domain models, training pipelines, speed up techniques, multi-language, multi-modal, and more to go. ...
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this softw...
Open Pre-trained Transformer Language Models (OPT)是一系列旨在复制GPT-3的开源模型之一,具有类似的仅解码器架构。它已经被LLaMA、GPT-J和Pythia等模型取代。 首次发布日期:2022-05-03 参考资料:https://github.com/facebookresearch/metaseq/tree/main/projects/OPT ...