metadata
license: other
license_name: modified-mit
library_name: transformers
base_model: moonshotai/Kimi-K2-Instruct-0905
tags:
- mlx
cs2764/Kimi-K2-Instruct-0905-mlx-mixed_3_4
The Model cs2764/Kimi-K2-Instruct-0905-mlx-mixed_3_4 was converted to MLX format from moonshotai/Kimi-K2-Instruct-0905 using mlx-lm version 0.28.0.
Quantization Details
This model was converted with the following quantization settings:
- Quantization Strategy: mixed_3_4 (Mixed precision)
- Average bits per weight: 3.663
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cs2764/Kimi-K2-Instruct-0905-mlx-mixed_3_4")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)