metadata
base_model: meta-llama/Meta-Llama-3-8B
language:
- sv
- da
- 'no'
pipeline_tag: text-generation
inference:
parameters:
temperature: 0.6
tags:
- pytorch
- llama
- llama-3
- ai-sweden
Use with transformers
See the snippet below for usage with Transformers:
>>> import transformers
>>> import torch
>>> model_id = "AI-Sweden-Models/Llama-3-8B"
>>> pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.bfloat16},
device_map="auto"
)
>>> pipeline("Hey how are you doing today?")
Training information
AI-Sweden-Models/Llama-3-8B is a continuation of the pretraining process from meta-llama/Meta-Llama-3-8B. It was trained on a subset from The nordic pile containing Swedish, Norweigian and Danish.
A total of 92 A100 gpus was used, and roughly 250GB of data was used.
Benchmarks
Coming soon.