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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
---
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# 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* |