---
title: InternVL3_5-1B-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/InternVL3_5-1B-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/InternVL3_5-1B-4bit.md"
repository: mlx-community/InternVL3_5-1B-4bit
last_updated: 2025-10-05
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - internvl
architectures:
  - InternVLForConditionalGeneration
base_model:
  - OpenGVLab/InternVL3_5-1B-MPO
base_model_relation: finetune
parameters: 446.0M
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - multilingual
inference_backends:
  - "deploy_task text"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
downloads: 92
stars: 0
tags:
  - internvl
  - custom_code
  - mlx
---

# InternVL3_5-1B-4bit

> InternVL3_5-1B-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/InternVL35-1B-4bit This model was converted to MLX format from OpenGVLab/InternVL35-1B-HF using mlx-vlm version 0.3.3. Refer to the original model card for more details on the model. Use…

mlx-community/InternVL3_5-1B-4bit 是 ModelScope 魔搭社区上的 446.0M 参数image-text-to-text模型，采用 apache-2.0 许可，基于 OpenGVLab/InternVL3_5-1B-MPO 构建，可用 deploy_task text、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/InternVL3_5-1B-4bit
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 446.0M
- **Base model**: OpenGVLab/InternVL3_5-1B-MPO
- **Inference backends**: deploy_task text, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1
- **Tags**: internvl, custom_code, mlx
- **Downloads**: 92
- **Stars**: 0
- **Last updated**: 2025-10-05

Source: https://www.modelscope.cn/models/mlx-community/InternVL3_5-1B-4bit

---

# mlx-community/InternVL3_5-1B-4bit
This model was converted to MLX format from [`OpenGVLab/InternVL3_5-1B-HF`]() using mlx-vlm version **0.3.3**.
Refer to the [original model card](https://huggingface.co/OpenGVLab/InternVL3_5-1B-HF) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/InternVL3_5-1B-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```