---
language:
- en
license: apache-2.0
tags:
- function calling
- on-device language model
- android
- mlx
base_model: google/gemma-2b
inference: false
space: false
spaces: false
model-index:
- name: Octopus-V2-2B
  results: []
---

# mlx-community/Octopus-v2-4bit
This model was converted to MLX format from [`NexaAIDev/Octopus-v2`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/NexaAIDev/Octopus-v2) for more details on the model.
## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Octopus-v2-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```