README.md

---
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
datasets:
- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b
- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob
base_model: Alibaba-Apsara/DASD-4B-Thinking
tags:
- mlx
---

# mlx-community/DASD-4B-Thinking-bfloat16

This model [mlx-community/DASD-4B-Thinking-bfloat16](https://huggingface.co/mlx-community/DASD-4B-Thinking-bfloat16) was
converted to MLX format from [Alibaba-Apsara/DASD-4B-Thinking](https://huggingface.co/Alibaba-Apsara/DASD-4B-Thinking)
using mlx-lm version **0.30.6**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DASD-4B-Thinking-bfloat16")

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)
```