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---
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- safetensors
- onnx
- transformers.js
- mlx
---
# TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce
The Model [TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce](https://huggingface.co/TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce) was
converted to MLX format from [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct)
using mlx-lm version **0.20.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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