---
license: apache-2.0
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
base_model: Qwen/Qwen3-0.6B-Base
---

# abalogh/Qwen3-0.6B-Base-4bit

This model [abalogh/Qwen3-0.6B-Base-4bit](https://huggingface.co/abalogh/Qwen3-0.6B-Base-4bit) was
converted to MLX format from [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base)
using mlx-lm version **0.24.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("abalogh/Qwen3-0.6B-Base-4bit")

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)
```