---
title: nanoLLaVA
canonical_url: "https://www.modelscope.cn/models/mlx-community/nanoLLaVA"
md_url: "https://www.modelscope.cn/models/mlx-community/nanoLLaVA.md"
repository: mlx-community/nanoLLaVA
last_updated: 2024-12-26
license: apache-2.0
model_type:
  - llava-qwen2
architectures:
  - LlavaQwen2ForCausalLM
parameters: 1.1B
tensor_type:
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 897
stars: 0
tags:
  - llava
  - multimodal
  - qwen
  - mlx
---

# nanoLLaVA

> nanoLLaVA - mlx-community 在 ModelScope 开源的模型。mlx-community/nanoLLaVA This model was converted to MLX format from qnguyen3/nanoLLaVA using mlx-vllm version 0.0.3. Refer to the original model card for more details on the model. Use with mlx

mlx-community/nanoLLaVA 是 ModelScope 魔搭社区上的 1.1B 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: mlx-community/nanoLLaVA
- **License**: apache-2.0
- **Parameters**: 1.1B
- **Tags**: llava, multimodal, qwen, mlx
- **Downloads**: 897
- **Stars**: 0
- **Last updated**: 2024-12-26

Source: https://www.modelscope.cn/models/mlx-community/nanoLLaVA

---

# mlx-community/nanoLLaVA
This model was converted to MLX format from [`qnguyen3/nanoLLaVA`]() using mlx-vllm version **0.0.3**.
Refer to the [original model card](https://huggingface.co/qnguyen3/nanoLLaVA) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/nanoLLaVA \
--prompt "what are these?" --image "http://images.cocodataset.org/val2017/000000039769.jpg" \
--max-tokens 100 --temp 0.0 
```