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license: apache-2.0
language:
- en
- zh
library_name: mlx
pipeline_tag: text-generation
tags:
- minicpm
- minicpm5
- llama
- text-generation
- long-context
- tool-calling
- on-device
- edge-ai
- mlx
datasets:
- openbmb/Ultra-FineWeb
- openbmb/Ultra-FineWeb-L3
- openbmb/UltraData-Math
- openbmb/UltraData-SFT-2605
base_model: openbmb/MiniCPM5-1B
---
# mlx-community/MiniCPM5-1B-4bit
This model [mlx-community/MiniCPM5-1B-4bit](https://huggingface.co/mlx-community/MiniCPM5-1B-4bit) 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("mlx-community/MiniCPM5-1B-4bit")
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)
```
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