---
title: OLMo-7B-hf-4bit-mlx
canonical_url: "https://www.modelscope.cn/models/mlx-community/OLMo-7B-hf-4bit-mlx"
md_url: "https://www.modelscope.cn/models/mlx-community/OLMo-7B-hf-4bit-mlx.md"
repository: mlx-community/OLMo-7B-hf-4bit-mlx
last_updated: 2025-02-06
license: apache-2.0
model_type:
  - olmo
architectures:
  - OlmoModelForCausalLM
parameters: 1.3B
tensor_type:
  - U32
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 852
stars: 0
tags:
  - mlx
---

# OLMo-7B-hf-4bit-mlx

> OLMo-7B-hf-4bit-mlx - mlx-community 在 ModelScope 开源的模型。mlx-community/OLMo-7B-hf-4bit-mlx This model was converted to MLX format from allenai/OLMo-7B. Refer to the original model card for more details on the model. Use with mlx

mlx-community/OLMo-7B-hf-4bit-mlx 是 ModelScope 魔搭社区上的 1.3B 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: mlx-community/OLMo-7B-hf-4bit-mlx
- **License**: apache-2.0
- **Parameters**: 1.3B
- **Tags**: mlx
- **Downloads**: 852
- **Stars**: 0
- **Last updated**: 2025-02-06

Source: https://www.modelscope.cn/models/mlx-community/OLMo-7B-hf-4bit-mlx

---

# mlx-community/OLMo-7B-hf-4bit-mlx
This model was converted to MLX format from [`allenai/OLMo-7B`]().
Refer to the [original model card](https://huggingface.co/allenai/OLMo-7B) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
pip install ai2-olmo
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/OLMo-7B-hf-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```