---
title: LFM3-VL-2B-MLX-bf16
canonical_url: "https://www.modelscope.cn/models/LiquidAI/LFM3-VL-2B-MLX-bf16"
md_url: "https://www.modelscope.cn/models/LiquidAI/LFM3-VL-2B-MLX-bf16.md"
repository: LiquidAI/LFM3-VL-2B-MLX-bf16
last_updated: 2026-10-29
license: other
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - lfm3_vl
architectures:
  - Lfm3VlForConditionalGeneration
base_model:
  - LiquidAI/LFM3-VL-2B
base_model_relation: quantized
parameters: 1.9B
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - ar
  - zh
  - fr
  - de
  - it
  - ja
  - ko
  - pt
  - es
  - vi
  - th
  - id
  - hi
  - ru
  - pl
downloads: 8
stars: 0
tags:
  - liquid
  - lfm3
  - mlx
---

# LFM3-VL-2B-MLX-bf16

> LFM3-VL-2B-MLX-bf16 - LiquidAI 在 ModelScope 开源的模型。BF16 MLX version of LFM3-VL-2B for Apple Silicon. The weights take 3.84 GB.

LiquidAI/LFM3-VL-2B-MLX-bf16 是 ModelScope 魔搭社区上的 1.9B 参数image-text-to-text模型，采用 other 许可，基于 LiquidAI/LFM3-VL-2B 构建。

- **Repository**: LiquidAI/LFM3-VL-2B-MLX-bf16
- **License**: other
- **Tasks**: image-text-to-text
- **Parameters**: 1.9B
- **Base model**: LiquidAI/LFM3-VL-2B
- **Tags**: liquid, lfm3, mlx
- **Downloads**: 8
- **Stars**: 0
- **Last updated**: 2026-10-29

Source: https://www.modelscope.cn/models/LiquidAI/LFM3-VL-2B-MLX-bf16

---

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# LFM3-VL-2B-MLX-bf16

BF16 MLX version of [LFM3-VL-2B](https://huggingface.co/LiquidAI/LFM3-VL-2B) for Apple Silicon. The weights take 3.84 GB.

Weights are unquantized BF16.

Find architecture and usage details in the [original model card](https://huggingface.co/LiquidAI/LFM3-VL-2B).

## Use with MLX-VLM
<hr style="margin: -0.7em 0 1.2em 0; border: 0; border-top: 1px solid rgba(127, 127, 127, 0.3);" />

Support for LFM3-VL in [MLX-VLM](https://github.com/Blaizzy/mlx-vlm) is in progress. We will update this card when an MLX-VLM release supports it.

```bash
python -m mlx_vlm.generate --model LiquidAI/LFM3-VL-2B-MLX-bf16 \
  --image <IMAGE PATH> --prompt "Describe this image." \
  --temperature 0.1 --top-p 1.0 --top-k 50 --min-p 0.0 --repetition-penalty 1.1 \
  --max-tokens 16384
```

More options in the [MLX guide](https://docs.liquid.ai/deployment/on-device/mlx).