metadata
tags:
- chat
- mlx
base_model: Goekdeniz-Guelmez/JOSIE-4B-Instruct
pipeline_tag: text-generation
language:
- multilingual
- en
- es
- fr
- pt
- it
- ar
- ko
- id
- ru
- vi
- de
- th
- ja
library_name: mlx
license: mit
mlx-community/JOSIE-4B-Instruct-8bit
This model mlx-community/JOSIE-4B-Instruct-8bit was converted to MLX format from Goekdeniz-Guelmez/JOSIE-4B-Instruct using mlx-lm version 0.30.6.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/JOSIE-4B-Instruct-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)