Model Details
Full Model IDmeta-llama/Llama-3.1-8B-Instruct
Pipeline / Tasktext-generation
Librarytransformers
Downloads (all-time)9.3M
Likes5.7K
Last Modified9/25/2024
Author / Orgmeta-llama
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="meta-llama/Llama-3.1-8B-Instruct")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsllamatext-generationfacebookmetapytorchllama-3conversationalendefritpthiestharxiv:2204.05149base_model:meta-llama/Llama-3.1-8Bbase_model:finetune:meta-llama/Llama-3.1-8Blicense:llama3.1eval-resultstext-generation-inferenceendpoints_compatibleregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads9.3M
❤️ Community Likes5.7K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.