---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- merge
- programming
- code generation
- code
- codeqwen
- coding
- coder
- qwen3
- chat
- qwen
- qwen-coder
- reasoning
- thinking
- r1
- cot
- deepseek
- 40k context
- general usage
- problem solving
- brainstorming
- solve riddles
- mlx
base_model: DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B
library_name: mlx
---

# Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-mlx

This model [Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-mlx](https://huggingface.co/Qwen3-Zero-Coder-Reasoning-V2-0.8B-dq68-mlx) was
converted to MLX format from [DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B](https://huggingface.co/DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B)
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-Zero-Coder-Reasoning-V2-0.8B-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)
```