metadata
license: mit
library_name: transformers
tags:
- mlx
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
drewbenson/DeepSeek-R1-Distill-Llama-8B-4bit-MLX
The Model drewbenson/DeepSeek-R1-Distill-Llama-8B-4bit-MLX was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Llama-8B using mlx-lm version 0.21.5.
On M4 Max, this runs 40%-50% faster than the GGUF.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("drewbenson/DeepSeek-R1-Distill-Llama-8B-4bit-MLX")
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)