metadata
license: mit
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
base_model: deepseek-ai/DeepSeek-R1-0528
kaxap/mlx-DeepSeek-R1-0528-2bit
This model kaxap/mlx-DeepSeek-R1-0528-2bit was converted to MLX format from deepseek-ai/DeepSeek-R1-0528 using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("kaxap/mlx-DeepSeek-R1-0528-2bit")
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)