LLaMA7B

LLaMA-7B, also referred to as LLaMA-7B, is a 7-billion-parameter language model in Meta's LLaMA family. Released in 2023, it sits between larger models such as 13B, 30B, and 65B in the lineup. Built on a Transformer architecture, it uses a context window of 2048 tokens to process input text.

Like other LLaMA models, it was trained on a mixture of publicly available text data and licensed sources to learn next-token prediction. Meta has not publicly disclosed full details of the dataset composition or size, but the model is designed to be efficient relative to larger counterparts.

The model was released to researchers under terms that restricted non-commercial use. Over time, open-source ports and community implementations emerged, enabling broader experimentation and use in research settings; commercial use remains subject to license terms or third-party agreements, depending on the distribution.

LLaMA-7B can perform a range of natural language tasks, including drafting, summarization, translation, and code-like generation. While capable, its outputs can be plausible but incorrect or biased, and it may produce harmful content if prompted. Like other models, it benefits from careful prompting, evaluation, and safety considerations.

Running LLaMA-7B typically requires substantial memory; with quantization techniques such as 8-bit or 4-bit precision, it can be used on consumer GPUs or on affordable hardware in some setups. Fine-tuning or adaptation with low-rank or LoRA methods is common for task-specific use.