"Llemma: An open language model for mathematics" In Math-AI Workshop @ NeurIPS, 2023. Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, and Louis Castricato. "trlX: A Framework for Large Scale Reinforcement Learning from Human ...
论文简述:在这篇名为Llemma: An Open Language Model For Mathematics的论文中,作者们提出了一种名为Llemma的大型语言模型,用于解决数学问题。为了实现这一目标,他们继续对Code Llama进行预训练,该模型基于科学论文、包含数学内容的网络数据和数学代码的组合。经过这样的预训练后,Llemma在MATH基准测试上的表现优于...
To address this, this research first reviewed and synthesized the core technologies of representative open-source LLMs, and designed an advanced 1.5B-parameter LLM tailored for the Chinese education field. Chinese education large language model (CELLM) is trained from scratch, involving two stages,...
ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型,基于General Language Model (GLM)架构,具有 62 亿参数。结合模型量化技术,用户可以在消费级的显卡上进行本地部署(INT4 量化级别下最低只需 6GB 显存)。 ChatGLM-6B 使用了和 ChatGPT 相似的技术,针对中文问答和对话进行了优化。经过约 1T 标识符的中英双...
Paper:Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research这篇论文介绍了一个名为Dolma的数据集和数据处理工具包,旨在促进语言模型预训练的研究。作者发现现有的商业语言…
The OpenVLA Model 存在遗留问题:最佳的模型主干,数据集,训练时使用的超参数 3.1 Preliminaries:Vision-Language Models VLM大多含有三个主要成分: visual encoder:将图像输入映射为一系列的"image patch embeddings" projector:将visual encoder输出的embeddings映射到语言模型的输入空间 LLM backbone:VLM训练期间,根据配对...
Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is the first time a large language model has been used to discover a solution to a long-standing scientific pu...
An open letter to the Chinese languageDear Chinese Language,I ought to begin by clarifying my understanding of our relationship. I have not had my happiest days working at you; indeed, my best efforts to learn you have, by and large, been frustrating and fruitless....
原文链接:《TinyLlama: An Open-Source Small Language Model》全文翻译 Abstract 我们推出了 TinyLlama,这是一个紧凑的 1.1B 语言模型,在大约 1 万亿个令牌上进行了大约 3 个时期的预训练。 TinyLlama 基于Llama 2(Touvron 等人,2023b)的架构和标记器构建,利用开源社区贡献的各种进步(例如FlashAttention(Dao,2023...
We present Llemma, a large language model for mathematics. We continue pretraining Code Llama on the Proof-Pile-2, a mixture of scientific papers, web data containing mathematics, and mathematical code, yielding Llemma. On the MATH benchmark Llemma outperforms all known open base models, as...