metadata
license: apache-2.0
language:
- zh
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
base_model: Goekdeniz-Guelmez/OpenBNB-MiniCPM3-4b
mlx-community/MiniCPM3-4B-bfloat16
The Model mlx-community/MiniCPM3-4B-bfloat16 was converted to MLX format from Goekdeniz-Guelmez/OpenBNB-MiniCPM3-4b using mlx-lm version 0.22.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/MiniCPM3-4B-bfloat16")
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)