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README.md

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 ---
+base_model: HuggingFaceTB/SmolVLM2-256M-Video-Instruct
+library_name: transformers
 license: apache-2.0
+model_creator: HuggingFaceTB
+model_name: SmolVLM2-256M-Video-Instruct
+quantized_by: Second State Inc.
+pipeline_tag: image-text-to-text
+language:
+- en
 ---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# SmolVLM2-256M-Video-Instruct-GGUF
+
+## Original Model
+
+[HuggingFaceTB/SmolVLM2-256M-Video-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.21.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.21.0) and above
+
+- Prompt template
+
+  - Prompt type: `smol-vision`
+
+  - Prompt string
+
+    ```text
+    <|im_start|>
+    User: {user_message_1}<image>
+    Assistant: {assistant_message_1}
+    User: {user_message_2}<image>
+    Assistant:
+    ```
+
+- Context size: `2048`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolVLM2-256M-Video-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template smol-vision \
+    --llava-mmproj SmolVLM2-256M-Video-Instruct-mmproj-f16.gguf \
+    --model-name SmolVLM2-256M-Video-Instruct \
+    --ctx-size 2048
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [SmolVLM2-256M-Video-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 104 MB| smallest, significant quality loss - not recommended for most purposes |
+| [SmolVLM2-256M-Video-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 114 MB| small, substantial quality loss |
+| [SmolVLM2-256M-Video-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 110 MB| very small, high quality loss |
+| [SmolVLM2-256M-Video-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 104 MB| very small, high quality loss |
+| [SmolVLM2-256M-Video-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 108 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [SmolVLM2-256M-Video-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 125 MB| medium, balanced quality - recommended |
+| [SmolVLM2-256M-Video-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 122 MB| small, greater quality loss |
+| [SmolVLM2-256M-Video-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 125 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [SmolVLM2-256M-Video-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 133 MB| large, very low quality loss - recommended |
+| [SmolVLM2-256M-Video-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 131 MB| large, low quality loss - recommended |
+| [SmolVLM2-256M-Video-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 169 MB| very large, extremely low quality loss |
+| [SmolVLM2-256M-Video-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 175 MB| very large, extremely low quality loss - not recommended |
+| [SmolVLM2-256M-Video-Instruct-f16.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-f16.gguf)       | f16    | 16 | 328 MB| |
+| [SmolVLM2-256M-Video-Instruct-mmproj-f16.gguf](https://huggingface.co/second-state/SmolVLM2-256M-Video-Instruct-GGUF/blob/main/SmolVLM2-256M-Video-Instruct-mmproj-f16.gguf)       | f16    | 16 | 190 MB| |
+
+*Quantized with llama.cpp b5501*