metadata
library_name: mlx
license: llama3
language:
- ja
base_model: SakanaAI/Llama-3-Karamaru-v1
pipeline_tag: text-generation
tags:
- mlx
mlx-community/Llama-3-Karamaru-v1
This model mlx-community/Llama-3-Karamaru-v1 was converted to MLX format from SakanaAI/Llama-3-Karamaru-v1 using mlx-lm version 0.22.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Llama-3-Karamaru-v1")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)