---
base_model: HuggingFaceTB/SmolLM-360M
datasets:
- Magpie-Align/Magpie-Pro-300K-Filtered
- bigcode/self-oss-instruct-sc2-exec-filter-50k
- teknium/OpenHermes-2.5
- HuggingFaceTB/everyday-conversations-llama3.1-2k
language:
- en
library_name: transformers
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- mlx
---

# mlx-community/SmolLM-360M-Instruct

The Model [mlx-community/SmolLM-360M-Instruct](https://huggingface.co/mlx-community/SmolLM-360M-Instruct) was converted to MLX format from [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) using mlx-lm version **0.17.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/SmolLM-360M-Instruct")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```