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metadata
license: other
license_name: modified-mit
library_name: mlx
tags:
  - mlx
pipeline_tag: text-generation
base_model: moonshotai/Kimi-K2-Instruct-0905

mlx-community/moonshotai_Kimi-K2-Instruct-0905-mlx-3bit

This model mlx-community/moonshotai_Kimi-K2-Instruct-0905-mlx-3bit was converted to MLX format from moonshotai/Kimi-K2-Instruct-0905 using mlx-lm version 0.26.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/moonshotai_Kimi-K2-Instruct-0905-mlx-3bit")

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)