metadata
base_model: omlab/Qwen2.5VL-3B-VLM-R1-REC-500steps
tags:
- mlx
mlx-community/Qwen2.5VL-3B-VLM-R1
The Model mlx-community/Qwen2.5VL-3B-VLM-R1 was converted to MLX format from omlab/Qwen2.5VL-3B-VLM-R1-REC-500steps using mlx-lm version 0.21.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen2.5VL-3B-VLM-R1")
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)