---
tags:
- swe-bench
- mlx
license: apache-2.0
metrics:
- pass@1
library_name: mlx
pipeline_tag: text-generation
base_model: Skywork/Skywork-SWE-32B
---

# mlx-community/Skywork-SWE-32B-6bit

This model [mlx-community/Skywork-SWE-32B-6bit](https://huggingface.co/mlx-community/Skywork-SWE-32B-6bit) was
converted to MLX format from [Skywork/Skywork-SWE-32B](https://huggingface.co/Skywork/Skywork-SWE-32B)
using mlx-lm version **0.25.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Skywork-SWE-32B-6bit")

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)
```