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---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- alignment-handbook
- trl
- sft
- mlx
base_model: HuggingFaceTB/SmolLM-135M
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
---
# madroid/SmolLM-135M-Instruct-4bit
The Model [madroid/SmolLM-135M-Instruct-4bit](https://huggingface.co/madroid/SmolLM-135M-Instruct-4bit) was converted to MLX format from [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) using mlx-lm version **0.17.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("madroid/SmolLM-135M-Instruct-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
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