---
title: InternVL3-1B-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/InternVL3-1B-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/InternVL3-1B-4bit.md"
repository: mlx-community/InternVL3-1B-4bit
last_updated: 2025-04-15
license: other
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - internvl_chat
architectures:
  - InternVLChatModel
base_model:
  - OpenGVLab/InternViT-300M-448px-V2_5
  - Qwen/Qwen2.5-0.5B
base_model_relation: merge
parameters: 403.2M
tensor_type:
  - U32
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - multilingual
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 404
stars: 0
tags:
  - internvl
  - custom_code
  - mlx
---

# InternVL3-1B-4bit

> InternVL3-1B-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/InternVL3-1B-4bit This model was converted to MLX format from InternVL3-1B using mlx-vlm version 0.1.22. Refer to the original model card for more details on the model. Use with mlx

mlx-community/InternVL3-1B-4bit 是 ModelScope 魔搭社区上的 403.2M 参数image-text-to-text模型，采用 other 许可，基于 OpenGVLab/InternViT-300M-448px-V2_5、Qwen/Qwen2.5-0.5B 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/InternVL3-1B-4bit
- **License**: other
- **Tasks**: image-text-to-text
- **Parameters**: 403.2M
- **Base model**: OpenGVLab/InternViT-300M-448px-V2_5, Qwen/Qwen2.5-0.5B
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: internvl, custom_code, mlx
- **Downloads**: 404
- **Stars**: 0
- **Last updated**: 2025-04-15

Source: https://www.modelscope.cn/models/mlx-community/InternVL3-1B-4bit

---

# mlx-community/InternVL3-1B-4bit
This model was converted to MLX format from [`InternVL3-1B`]() using mlx-vlm version **0.1.22**.
Refer to the [original model card](https://huggingface.co/InternVL3-1B) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/InternVL3-1B-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```