---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- mlx
pipeline_tag: text-generation
base_model: bunnycore/Qwen3-1.7B-Nyx-V3
library_name: mlx
---

# Qwen3-1.7B-Nyx-V3-dq68-mlx

This model [Qwen3-1.7B-Nyx-V3-dq68-mlx](https://huggingface.co/Qwen3-1.7B-Nyx-V3-dq68-mlx) was
converted to MLX format from [bunnycore/Qwen3-1.7B-Nyx-V3](https://huggingface.co/bunnycore/Qwen3-1.7B-Nyx-V3)
using mlx-lm version **0.26.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Qwen3-1.7B-Nyx-V3-dq68-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)
```