---
title: OpenELM-450M-Instruct
canonical_url: "https://www.modelscope.cn/models/mlx-community/OpenELM-450M-Instruct"
md_url: "https://www.modelscope.cn/models/mlx-community/OpenELM-450M-Instruct.md"
repository: mlx-community/OpenELM-450M-Instruct
last_updated: 2024-12-20
license: other
model_type:
  - openelm
architectures:
  - OpenELMForCausalLM
parameters: 457.2M
tensor_type:
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 998
stars: 0
tags:
  - mlx
---

# OpenELM-450M-Instruct

> OpenELM-450M-Instruct - mlx-community 在 ModelScope 开源的模型。mlx-community/OpenELM-450M-instruct This model was converted to MLX format from apple/OpenELM-450M-instruct using mlx-lm version 0.10.0. Refer to the original model card for more details on the model.…

mlx-community/OpenELM-450M-Instruct 是 ModelScope 魔搭社区上的 457.2M 参数机器学习模型，采用 other 许可。

- **Repository**: mlx-community/OpenELM-450M-Instruct
- **License**: other
- **Parameters**: 457.2M
- **Tags**: mlx
- **Downloads**: 998
- **Stars**: 0
- **Last updated**: 2024-12-20

Source: https://www.modelscope.cn/models/mlx-community/OpenELM-450M-Instruct

---

# mlx-community/OpenELM-450M-instruct
This model was converted to MLX format from [`apple/OpenELM-450M-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-450M-instruct) for more details on the model.
## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/OpenELM-450M-instruct")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```