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---
library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE
pipeline_tag: text-generation
base_model: Qwen/Qwen3-0.6B
tags:
- mlx
---
# Qwen3-0.6B-dwq6c-mlx
Tuned for fast output, no emoticons, trained for 168 samples, loss avg 0.2032, final loss 0.1682
Performance evaluation:
```bash
arc_challenge:
acc 0.273, acc_norm 0.290, stderr: 0.013
arc_easy:
acc 0.412, acc_norm 0.360, stderr 0.0098
boolq:
acc 0.378, stderr 0.0084
hellaswag:
acc 0.366, acc_norm 0.425, stderr: 0.0049
openbookqa:
acc 0.190, acc_norm 0.342, stderr: 0.0212
piqa:
acc 0.657, acc_norm 0.649, stderr: 0.011
winogrande:
acc 0.542, stderr: 0.014
```
This model [Qwen3-0.6B-dwq6c-mlx](https://huggingface.co/Qwen3-0.6B-dwq6c-mlx) was
converted to MLX format from [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)
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("Qwen3-0.6B-dwq6c-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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