---
license: apache-2.0
language:
- en
- zh
library_name: mlx
pipeline_tag: text-generation
tags:
- llm
- nanbeige
- mlx
base_model: Nanbeige/Nanbeige4.1-3B
---

# WaveCut/Nanbeige4.1-3B-mlx_8bit

This model [WaveCut/Nanbeige4.1-3B-mlx_8bit](https://huggingface.co/WaveCut/Nanbeige4.1-3B-mlx_8bit) was
converted to MLX format from [Nanbeige/Nanbeige4.1-3B](https://huggingface.co/Nanbeige/Nanbeige4.1-3B)
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("WaveCut/Nanbeige4.1-3B-mlx_8bit")

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)
```