DeepSeek-R1-Distill
Collection
39 items • Updated • 25
How to use mlx-community/DeepSeek-R1-Distill-Qwen-14B-3bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-Distill-Qwen-14B-3bit mlx-community/DeepSeek-R1-Distill-Qwen-14B-3bit
The Model mlx-community/DeepSeek-R1-Distill-Qwen-14B-3bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-14B using mlx-lm version 0.21.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-14B-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)
3-bit
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B