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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
base_model: allenai/OLMoE-1B-7B-0125-Instruct
library_name: transformers
datasets:
- allenai/RLVR-GSM
tags:
- mlx
---
# mlx-community/OLMoE-1B-7B-0125-Instruct
The Model [mlx-community/OLMoE-1B-7B-0125-Instruct](https://huggingface.co/mlx-community/OLMoE-1B-7B-0125-Instruct) was
converted to MLX format from [allenai/OLMoE-1B-7B-0125-Instruct](https://huggingface.co/allenai/OLMoE-1B-7B-0125-Instruct)
using mlx-lm version **0.21.6**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/OLMoE-1B-7B-0125-Instruct")
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)
```