metadata
license: other
license_name: modified-mit
library_name: mlx
tags:
- mlx
pipeline_tag: text-generation
base_model: moonshotai/Kimi-K2.5
mlx-community/Kimi-K2.5
This model mlx-community/Kimi-K2.5 was converted to MLX format from moonshotai/Kimi-K2.5 using mlx-lm version 0.30.5 (slightly modified).
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Kimi-K2.5")
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)