Meta Llama 3 70 B Instruct
meta-llamaIntroduction
Meta-Llama-3-70B-Instruct is part of the Meta Llama 3 family of large language models (LLMs) developed by Meta. These models are designed for text generation and are optimized for dialogue use cases, outperforming many open-source chat models. The Llama 3 models come in two sizes, 8B and 70B parameters, and are available in pretrained and instruction-tuned variants.
Architecture
Meta Llama 3 is an auto-regressive language model using an optimized transformer architecture. The instruction-tuned versions employ supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to better align with human preferences for helpfulness and safety. Both the 8B and 70B versions utilize Grouped-Query Attention (GQA) for enhanced inference scalability.
Training
Llama 3 models were pretrained on over 15 trillion tokens of publicly available data, with fine-tuning on more than 10 million human-annotated examples. Training involved the use of Meta's Research SuperCluster and third-party cloud computing resources, with all carbon emissions offset by Meta’s sustainability program. The models are trained to handle English text generation tasks but can be adapted for other languages following licensing guidelines.
Guide: Running Locally
To use Meta-Llama-3-70B-Instruct locally:
- Install Dependencies: Ensure you have Python installed, along with the necessary libraries such as
transformers
andtorch
. - Load the Model:
import transformers model_id = "meta-llama/Meta-Llama-3-70B-Instruct" pipeline = transformers.pipeline( "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto", )
- Run Inference: Use the pipeline for generating text by providing input messages.
- Cloud GPUs: Consider using cloud services with GPU support, such as AWS, Google Cloud, or Azure, for faster performance and scalability.
License
The Meta Llama 3 models are distributed under the Meta Llama 3 Community License. This license grants non-exclusive, worldwide, royalty-free rights for use, reproduction, and distribution of the Llama Materials, with certain conditions for redistribution and use. For detailed terms, refer to the license documentation.