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---
license: cc-by-4.0
base_model: nvidia/OpenMath-Nemotron-1.5B
datasets:
- nvidia/OpenMathReasoning
language:
- en
tags:
- nvidia
- math
- mlx
library_name: mlx
pipeline_tag: text-generation
---
# mlx-community/OpenMath-Nemotron-1.5B-4bit
This model [mlx-community/OpenMath-Nemotron-1.5B-4bit](https://huggingface.co/mlx-community/OpenMath-Nemotron-1.5B-4bit) was
converted to MLX format from [nvidia/OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
using mlx-lm version **0.23.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/OpenMath-Nemotron-1.5B-4bit")
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)
```
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