---
license: mit
library_name: mlx
pipeline_tag: text-generation
tags:
- transformers
- mlx
base_model:
- XiaomiMiMo/MiMo-V2-Flash
---

# mlx-community/MiMo-V2-Flash-mlx-8bit

This model [mlx-community/MiMo-V2-Flash-mlx-8bit-](https://huggingface.co/mlx-community/MiMo-V2-Flash-mlx-8bit) was converted to MLX format from [XiaomiMiMo/MiMo-V2-Flash](https://huggingface.co/XiaomiMiMo/MiMo-V2-Flash)
using mlx-lm version **0.30.0**.

You can find more similar MLX model quants for a single Apple Mac Studio M3 Ultra with 512 GB at https://huggingface.co/bibproj

---

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/MiMo-V2-Flash-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
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```