---
library_name: mlx
license: apache-2.0
language:
- en
- fr
- es
- it
- pt
- zh
- ar
- ru
base_model: HuggingFaceTB/SmolLM3-3B
tags:
- mlx
pipeline_tag: text-generation
---

# Otilde/smol3b

This model [Otilde/SmolLM3-3B-Base-Q8-MLX](https://huggingface.co/Otilde/SmolLM3-3B-Base-Q8-MLX) was
converted to MLX format from [HuggingFaceTB/SmolLM3-3B](https://huggingface.co/HuggingFaceTB/SmolLM3-3B)
using mlx-lm version **0.28.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Otilde/smol3b")

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)
```