---
license: apache-2.0
base_model: Qwen/Qwen3-VL-Embedding-8B
tags:
- transformers
- multimodal embedding
- mlx
pipeline_tag: text-generation
library_name: mlx
---

# jedisct1/Qwen3-VL-Embedding-8B-mlx

This model [jedisct1/Qwen3-VL-Embedding-8B-mlx](https://huggingface.co/jedisct1/Qwen3-VL-Embedding-8B-mlx) was
converted to MLX format from [Qwen/Qwen3-VL-Embedding-8B](https://huggingface.co/Qwen/Qwen3-VL-Embedding-8B)
using mlx-lm version **0.30.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("jedisct1/Qwen3-VL-Embedding-8B-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, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```