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---
library_name: mlx
base_model: qingy2024/Qwen3-VLTO-8B-Thinking
pipeline_tag: text-generation
tags:
- mlx
---
# Qwen3-VLTO-8B-Thinking-qx86x-mlx
This model [Qwen3-VLTO-8B-Thinking-qx86x-mlx](https://huggingface.co/Qwen3-VLTO-8B-Thinking-qx86x-mlx) was
converted to MLX format from [qingy2024/Qwen3-VLTO-8B-Thinking](https://huggingface.co/qingy2024/Qwen3-VLTO-8B-Thinking)
using mlx-lm version **0.28.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-VLTO-8B-Thinking-qx86x-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)
```
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