Meta Llama 3.3 70B Howto
Meta's Llama 3.3 70B is a state-of-the-art language model that delivers performance comparable to the larger Llama 3.1 405B model but at one-fifth the computational cost, making high-quality AI more accessible.
View MoreHow to Use Meta Llama 3.3 70B
Get Access: Fill out the access request form on HuggingFace to get access to the gated repository for Llama 3.3 70B. Generate a HuggingFace READ token which is free to create.
Install Dependencies: Install the required dependencies including transformers library and PyTorch
Load the Model: Import and load the model using the following code:
import transformers
import torch
model_id = 'meta-llama/Llama-3.3-70B-Instruct'
pipeline = transformers.pipeline('text-generation', model=model_id, model_kwargs={'torch_dtype': torch.bfloat16}, device_map='auto')
Format Input Messages: Structure your input messages as a list of dictionaries with 'role' and 'content' keys. For example:
messages = [
{'role': 'system', 'content': 'You are a helpful assistant'},
{'role': 'user', 'content': 'Your question here'}
]
Generate Output: Generate text by passing messages to the pipeline:
outputs = pipeline(messages, max_new_tokens=256)
print(outputs[0]['generated_text'])
Hardware Requirements: Ensure you have adequate GPU memory. The model requires significantly less computational resources compared to Llama 3.1 405B while delivering similar performance.
Follow Usage Policy: Comply with Meta's Acceptable Use Policy available at https://www.llama.com/llama3_3/use-policy and ensure usage adheres to applicable laws and regulations
Meta Llama 3.3 70B FAQs
Meta Llama 3.3 70B is a pretrained and instruction-tuned generative large language model (LLM) created by Meta AI. It's a multilingual model that can process and generate text.
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