README.md

metadata

license: apache-2.0
language:
  - en
base_model: alamios/DeepSeek-R1-DRAFT-Qwen2.5-0.5B
pipeline_tag: text-generation
library_name: transformers
tags:
  - qwen
  - qwen2.5
  - deepseek
  - mlx

alexgusevski/DeepSeek-R1-DRAFT-Qwen2.5-0.5B-q3-mlx

The Model alexgusevski/DeepSeek-R1-DRAFT-Qwen2.5-0.5B-q3-mlx was converted to MLX format from alamios/DeepSeek-R1-DRAFT-Qwen2.5-0.5B using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/DeepSeek-R1-DRAFT-Qwen2.5-0.5B-q3-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)