Our latest version of Llama – Llama 2 – is now accessible to individuals, creators, researchers, and businesses so they can experiment, innovate, and scale their ideas responsibly. With each model download you'll receive: Llama 2 was pretrained on publicly available online data sources.

Meta 出品的 Llama 续作 Llama2，一系列模型（7b、13b、70b）均开源可商用。 Llama2 在各个榜单上精度全面超过 Llama1，同时也超过目前所有开源模型。 本文非常详细地介绍了 Llama2 的预训练、SFT、 RLHF 的所有细节，同时也从模型训练的安全性、环保性等各个角度进行了详细分析。 值得精读的大模型研发文章。 尽快 LLM 训练方法很直观：基于自回归的 transformer 模型，在大量预料上做自监督训练，然后通过人类反馈强化学习 (RLHF) 等技术来与人类偏好对齐 …

Llama 2 is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly. This release includes model weights and starting code for pre-trained and fine-tuned Llama language models — ranging from 7B to 70B parameters.

Llama 2模型在大多数基准上都比开源的对话模型表现得更好，并且根据人类评估的有用性和安全性，可能是闭源模型的合适替代品。Meta提供了他们对Llama 2-Chat进行微调和安全改进的方法的详细描述。 图2：HuggingFace上开源的Llama 2模型. Llama 2. 训练数据增加40% ...

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The open-source AI models you can fine-tune, distill and deploy anywhere. Choose from our collection of models: Llama 3.1, Llama 3.2, Llama 3.3.

2023年7月18日 · Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters. Llama 2 is released by Meta Platforms, Inc. This model is trained on 2 trillion tokens, and by default supports a context length of 4096. Llama 2 Chat models are fine-tuned on over 1 million human annotations, and are made for chat.

2023年7月18日 · In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases.

2023年7月18日 · Today, we’re introducing the availability of Llama 2, the next generation of our open source large language model. Llama 2 is free for research and commercial use. Microsoft and Meta are expanding their longstanding partnership, with Microsoft as …

llama2 是meta最新开源的语言大模型，训练数据集2万亿token，上下文长度是由llama的2048扩展到4096，可以理解和生成更长的文本，包括7B、13B和70B三个模型，在各种基准集的测试上表现突出，最重要的是，该模型可用于研究和商业用途。