---
library_name: mlx
tags:
- function calling
- on-device language model
- mlx
inference: false
space: false
spaces: false
language:
- en
base_model: squeeze-ai-lab/TinyAgent-1.1B
pipeline_tag: text-generation
model-index:
- name: TinyAgent-1.1B
  results: []
---

# WannabeArchitect/TinyAgent-1.1B-MLX

This model [WannabeArchitect/TinyAgent-1.1B-MLX](https://huggingface.co/WannabeArchitect/TinyAgent-1.1B-MLX) was
converted to MLX format from [squeeze-ai-lab/TinyAgent-1.1B](https://huggingface.co/squeeze-ai-lab/TinyAgent-1.1B)
using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("WannabeArchitect/TinyAgent-1.1B-MLX")

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)
```