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---
license: mit
language:
- en
- ko
tags:
- KT
- K-intelligence
- Mi:dm
- mlx
inference: true
pipeline_tag: text-generation
library_name: mlx
base_model: K-intelligence/Midm-2.0-Base-Instruct
---
# litmudoc/Midm-2.0-Base-Instruct-MLX-Q8
This model [litmudoc/Midm-2.0-Base-Instruct-MLX-Q8](https://huggingface.co/litmudoc/Midm-2.0-Base-Instruct-MLX-Q8) was
converted to MLX format from [K-intelligence/Midm-2.0-Base-Instruct](https://huggingface.co/K-intelligence/Midm-2.0-Base-Instruct)
using mlx-lm version **0.25.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("litmudoc/Midm-2.0-Base-Instruct-MLX-Q8")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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