---
title: Llama-3.2-11B-Vision-Instruct-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Instruct-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Instruct-4bit.md"
repository: mlx-community/Llama-3.2-11B-Vision-Instruct-4bit
last_updated: 2024-12-19
license: llama3.2
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - mllama
architectures:
  - MllamaForConditionalGeneration
base_model:
  - meta-llama/Llama-3.2-11B-Vision-Instruct
base_model_relation: finetune
parameters: 1.7B
tensor_type:
  - F16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 1355
stars: 0
tags:
  - llama-3
  - llama
  - meta
  - facebook
  - unsloth
  - transformers
  - mlx
---

# Llama-3.2-11B-Vision-Instruct-4bit

> Llama-3.2-11B-Vision-Instruct-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Llama-3.2-11B-Vision-Instruct-4bit This model was converted to MLX format from unsloth/Llama-3.2-11B-Vision-Instruct using mlx-vlm version 0.1.0. Refer to the original model…

mlx-community/Llama-3.2-11B-Vision-Instruct-4bit 是 ModelScope 魔搭社区上的 1.7B 参数image-text-to-text模型，采用 llama3.2 许可，基于 meta-llama/Llama-3.2-11B-Vision-Instruct 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/Llama-3.2-11B-Vision-Instruct-4bit
- **License**: llama3.2
- **Tasks**: image-text-to-text
- **Parameters**: 1.7B
- **Base model**: meta-llama/Llama-3.2-11B-Vision-Instruct
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: llama-3, llama, meta, facebook, unsloth, transformers, mlx
- **Downloads**: 1355
- **Stars**: 0
- **Last updated**: 2024-12-19

Source: https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Instruct-4bit

---

# mlx-community/Llama-3.2-11B-Vision-Instruct-4bit
This model was converted to MLX format from [`unsloth/Llama-3.2-11B-Vision-Instruct`]() using mlx-vlm version **0.1.0**.
Refer to the [original model card](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/Llama-3.2-11B-Vision-Instruct-4bit --max-tokens 100 --temp 0.0
```