---
title: Llama-3.2-11B-Vision-Surgical-CholecT50-bf16
canonical_url: "https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16"
md_url: "https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16.md"
repository: mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16
last_updated: 2025-06-05
license: other
model_type:
  - mllama
architectures:
  - MllamaForConditionalGeneration
parameters: 8.1B
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 272
stars: 0
tags:
  - mlx
---

# Llama-3.2-11B-Vision-Surgical-CholecT50-bf16

> Llama-3.2-11B-Vision-Surgical-CholecT50-bf16 - mlx-community 在 ModelScope 开源的模型。mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16 This model was converted to MLX format from nvidia/Llama-3.2-11B-Vision-Surgical-CholecT50 using mlx-vlm version…

mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16 是 ModelScope 魔搭社区上的 8.1B 参数机器学习模型，采用 other 许可，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-Surgical-CholecT50-bf16
- **License**: other
- **Parameters**: 8.1B
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 272
- **Stars**: 0
- **Last updated**: 2025-06-05

Source: https://www.modelscope.cn/models/mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16

---

# mlx-community/Llama-3.2-11B-Vision-Surgical-CholecT50-bf16
This model was converted to MLX format from [`nvidia/Llama-3.2-11B-Vision-Surgical-CholecT50`]() using mlx-vlm version **0.1.26**.
Refer to the [original model card](https://huggingface.co/nvidia/Llama-3.2-11B-Vision-Surgical-CholecT50) 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-Surgical-CholecT50-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```