---
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
- mlx
- mlx-my-repo
datasets:
- openbmb/Ultra-FineWeb
- openbmb/Ultra-FineWeb-L3
- openbmb/UltraData-Math
- openbmb/UltraData-SFT-2605
base_model: openbmb/MiniCPM5-1B
---

# usermma/MiniCPM5-1B-mlx-6Bit

The Model [usermma/MiniCPM5-1B-mlx-6Bit](https://huggingface.co/usermma/MiniCPM5-1B-mlx-6Bit) was converted to MLX format from [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) 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/MiniCPM5-1B-mlx-6Bit")

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)
```