---
license: apache-2.0
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
tags:
- minicpm
- minicpm5
- llama
- text-generation
- long-context
- tool-calling
- on-device
- edge-ai
- abliterated
- uncensored
- mlx
- mlx-my-repo
base_model: huihui-ai/Huihui-MiniCPM5-1B-abliterated
---

# usermma/Huihui-MiniCPM5-1B-abliterated-mlx-8Bit

The Model [usermma/Huihui-MiniCPM5-1B-abliterated-mlx-8Bit](https://huggingface.co/usermma/Huihui-MiniCPM5-1B-abliterated-mlx-8Bit) was converted to MLX format from [huihui-ai/Huihui-MiniCPM5-1B-abliterated](https://huggingface.co/huihui-ai/Huihui-MiniCPM5-1B-abliterated) 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("usermma/Huihui-MiniCPM5-1B-abliterated-mlx-8Bit")

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)
```