|
|
---
|
|
|
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* |
