DownloadLlama-2-7B is a foundational large language model developed by Meta as part of the Llama 2 family, designed for general-purpose text generation in English. It has 7 billion parameters and uses an optimized transformer-based, autoregressive architecture. Trained on 2 trillion tokens of publicly available data, it serves as the base for fine-tuned models like Llama-2-Chat. The model is pretrained only, meaning it is not optimized for dialogue but can be adapted for various natural language processing tasks, such as summarization, completion, and code generation. It demonstrates solid performance on academic benchmarks like MMLU and TruthfulQA, improving on its predecessor, Llama 1. The Llama-2-7B model is released under Meta’s Llama 2 Community License, which allows for commercial use under certain conditions, especially for companies with fewer than 700 million MAUs.
Features
- 7B parameters using an optimized transformer architecture
- Pretrained on 2 trillion tokens of public data
- Suitable for general-purpose text generation tasks
- Can be fine-tuned for specialized applications
- Openly released under the Llama 2 Community License
- Demonstrates strong performance on safety and reasoning benchmarks
- Text-only input and output model
- Requires safety testing for deployment in real-world use cases
Project Samples
