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) | |
``` | |