Add Vanta model card

README.md

@@ -1,20 +1,104 @@
 ---
-license: apache-2.0
+base_model: Qwen/Qwen3-VL-2B-Instruct
+library_name: mlx
 pipeline_tag: image-text-to-text
-library_name: transformers
 tags:
-- mlx
+  - mlx
+  - qwen3-vl
+  - vision-language-model
+  - quantized
+  - 4bit
+license: apache-2.0
 ---
 
-# mlx-community/Qwen3-VL-2B-Instruct-4bit
-This model was converted to MLX format from [`Qwen/Qwen3-VL-2B-Instruct`]() using mlx-vlm version **0.3.4**.
-Refer to the [original model card](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct) for more details on the model.
-## Use with mlx
+<p align="center">
+  <a href="https://apps.apple.com/tr/app/vanta-local-ai-llm-chat/id6758898098">
+    <img src="banner.png" alt="Vanta - Local AI LLM Chat" width="100%" />
+  </a>
+</p>
 
-```bash
-pip install -U mlx-vlm
+<h1 align="center">Qwen3-VL-2B-Instruct-4bit</h1>
+
+<p align="center">
+  A verbatim mirror of
+  <a href="https://huggingface.co/mlx-community/Qwen3-VL-2B-Instruct-4bit">mlx-community/Qwen3-VL-2B-Instruct-4bit</a>,
+  kept here so the <b>Vanta</b> iOS app always has a stable lower-RAM model to download from.
+</p>
+
+## Run it on your iPhone with Vanta
+
+This is one of the built-in one-tap downloads in **Vanta - Local AI LLM Chat**, a
+local-first AI chat app for iPhone and iPad. Vanta runs models like this one fully
+on-device with Apple's MLX framework - no account and no cloud, your chats stay on
+your device. Because it's a vision-capable model, you can also chat about images.
+
+Vanta recommends this smaller model on RAM-tight devices where the 4B Thinking model
+is likely too heavy.
+
+**[Download Vanta on the App Store ->](https://apps.apple.com/tr/app/vanta-local-ai-llm-chat/id6758898098)**
+
+---
+
+> **This is a copy.** Every model file in this repository is an exact copy of
+> [`mlx-community/Qwen3-VL-2B-Instruct-4bit`](https://huggingface.co/mlx-community/Qwen3-VL-2B-Instruct-4bit).
+> We cloned it so that **Vanta Client always has a reliable, always-available source**
+> to download this model from, independent of any upstream changes. All credit for the
+> model weights and the MLX conversion goes to
+> [mlx-community](https://huggingface.co/mlx-community), [Qwen](https://huggingface.co/Qwen),
+> and the original authors.
+
+---
+
+## Model Details
+
+- **Original Model:** [Qwen/Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)
+- **Upstream MLX Repo:** [mlx-community/Qwen3-VL-2B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen3-VL-2B-Instruct-4bit)
+- **Quantization:** 4-bit
+- **Format:** MLX SafeTensors
+- **Framework:** [mlx-vlm](https://github.com/Blaizzy/mlx-vlm)
+- **Model Type:** `qwen3_vl`
+- **Task:** Image-text-to-text
+- **Disk Size:** ~1.78 GB
+
+## Conversion Details
+
+The upstream model was converted to MLX format from
+[`Qwen/Qwen3-VL-2B-Instruct`](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)
+using `mlx-vlm` version **0.3.4**.
+
+## Related Models
+
+- **Default Vanta pick:** [TerminatorPower/Qwen3-VL-4B-Thinking-4bit](https://huggingface.co/TerminatorPower/Qwen3-VL-4B-Thinking-4bit)
+- **Upstream MLX repo:** [mlx-community/Qwen3-VL-2B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen3-VL-2B-Instruct-4bit)
+- **Original:** [Qwen/Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)
+
+## Usage
+
+```python
+from mlx_vlm import load, generate
+
+model, processor = load("TerminatorPower/Qwen3-VL-2B-Instruct-4bit")
+
+output = generate(
+    model,
+    processor,
+    prompt="Describe this image.",
+    image="path/to/image.jpg",
+    max_tokens=512
+)
+print(output)
 ```
 
+**CLI:**
+
 ```bash
-python -m mlx_vlm.generate --model mlx-community/Qwen3-VL-2B-Instruct-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+python3 -m mlx_vlm.generate \
+  --model TerminatorPower/Qwen3-VL-2B-Instruct-4bit \
+  --image path/to/image.jpg \
+  --prompt "Describe this image."
 ```
+
+## License
+
+This model inherits the [Apache 2.0 license](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)
+from the original Qwen model. The mirror does not add any restrictions.