---
title: LFM2-VL-1.6B-5bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/LFM2-VL-1.6B-5bit"
md_url: "https://www.modelscope.cn/models/mlx-community/LFM2-VL-1.6B-5bit.md"
repository: mlx-community/LFM2-VL-1.6B-5bit
last_updated: 2025-08-16
license: other
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - lfm2-vl
architectures:
  - Lfm2VlForConditionalGeneration
parameters: 620.2M
tensor_type:
  - BF16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 106
stars: 0
tags:
  - liquid
  - lfm2
  - lfm2-vl
  - edge
  - mlx
---

# LFM2-VL-1.6B-5bit

> LFM2-VL-1.6B-5bit - mlx-community 在 ModelScope 开源的模型。mlx-community/LFM2-VL-1.6B-5bit This model was converted to MLX format from LiquidAI/LFM2-VL-1.6B using mlx-vlm version 0.3.2. Refer to the original model card for more details on the model. Use with mlx

mlx-community/LFM2-VL-1.6B-5bit 是 ModelScope 魔搭社区上的 620.2M 参数image-text-to-text模型，采用 other 许可。

- **Repository**: mlx-community/LFM2-VL-1.6B-5bit
- **License**: other
- **Tasks**: image-text-to-text
- **Parameters**: 620.2M
- **Tags**: liquid, lfm2, lfm2-vl, edge, mlx
- **Downloads**: 106
- **Stars**: 0
- **Last updated**: 2025-08-16

Source: https://www.modelscope.cn/models/mlx-community/LFM2-VL-1.6B-5bit

---

# mlx-community/LFM2-VL-1.6B-5bit
This model was converted to MLX format from [`LiquidAI/LFM2-VL-1.6B`]() using mlx-vlm version **0.3.2**.
Refer to the [original model card](https://huggingface.co/LiquidAI/LFM2-VL-1.6B) for more details on the model.
## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/LFM2-VL-1.6B-5bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```