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---
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- safetensors
- onnx
- transformers.js
- mlx
- mlx-my-repo
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
---
# HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx
The Model [HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx) was converted to MLX format from [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) using mlx-lm version **0.19.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx")
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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