---
license: apache-2.0
base_model: sweepai/sweep-next-edit-v2-7B
tags:
- code
- autocomplete
- next-edit-prediction
- dpo
- mlx
- mlx-my-repo
language:
- en
pipeline_tag: text-generation
---

# Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16

The Model [Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16](https://huggingface.co/Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16) was converted to MLX format from [sweepai/sweep-next-edit-v2-7B](https://huggingface.co/sweepai/sweep-next-edit-v2-7B) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Cyanophyte/sweep-next-edit-v2-7B-mlx-fp16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```