Llama 2. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model. Links to other models can be found in the index at the bottom. Model Details Note: Use of this model is governed by the Meta license.

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Code Llama is available in four sizes with 7B, 13B, 34B, and 70B parameters respectively. Each of these models is trained with 500B tokens of code and code-related data, apart from 70B, which is trained on 1T tokens.

This release includes model weights and starting code for pre-trained and fine-tuned Llama language models — ranging from 7B to 70B parameters. This repository is intended as a minimal example to load Llama 2 models and run inference.

2023年2月27日 · We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art...

2023年2月24日 · Our smallest model, LLaMA 7B, is trained on one trillion tokens. Like other large language models, LLaMA works by taking a sequence of words as an input and predicts a next word to recursively generate text.

🦙 Llama for Huggingface Transformers Llama-7B converted from official Llama-7B to Huggingface model via HF's conversion script to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details.

2023年2月24日 · We introduce LLaMA, a collection of founda- tion language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets.

Let's break down the differences between the Llama 2 models and help you choose the right one for your use case.

In this repo, we present a permissively licensed open source reproduction of Meta AI's LLaMA large language model. We are releasing a 7B and 3B model trained on 1T tokens, as well as the preview of a 13B model trained on 600B tokens.