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metadata
base_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
library_name: transformers
license: apache-2.0
model_creator: HuggingFaceTB
model_name: SmolVLM2-500M-Video-Instruct
quantized_by: Second State Inc.
pipeline_tag: image-text-to-text
language:
  - en

SmolVLM2-500M-Video-Instruct-GGUF

Original Model

HuggingFaceTB/SmolVLM2-500M-Video-Instruct

Run with LlamaEdge

  • LlamaEdge version: v0.21.0 and above

  • Prompt template

    • Prompt type: smol-vision

    • Prompt string

      <|im_start|>
      User: {user_message_1}<image>
      Assistant: {assistant_message_1}
      User: {user_message_2}<image>
      Assistant:
      
  • Context size: 2048

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolVLM2-500M-Video-Instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template smol-vision \
      --llava-mmproj SmolVLM2-500M-Video-Instruct-mmproj-f16.gguf \
      --model-name SmolVLM2-500M-Video-Instruct \
      --ctx-size 2048
    

Quantized GGUF Models

Name Quant method Bits Size Use case
SmolVLM2-500M-Video-Instruct-Q2_K.gguf Q2_K 2 245 MB smallest, significant quality loss - not recommended for most purposes
SmolVLM2-500M-Video-Instruct-Q3_K_L.gguf Q3_K_L 3 273 MB small, substantial quality loss
SmolVLM2-500M-Video-Instruct-Q3_K_M.gguf Q3_K_M 3 261 MB very small, high quality loss
SmolVLM2-500M-Video-Instruct-Q3_K_S.gguf Q3_K_S 3 245 MB very small, high quality loss
SmolVLM2-500M-Video-Instruct-Q4_0.gguf Q4_0 4 256 MB legacy; small, very high quality loss - prefer using Q3_K_M
SmolVLM2-500M-Video-Instruct-Q4_K_M.gguf Q4_K_M 4 303 MB medium, balanced quality - recommended
SmolVLM2-500M-Video-Instruct-Q4_K_S.gguf Q4_K_S 4 293 MB small, greater quality loss
SmolVLM2-500M-Video-Instruct-Q5_0.gguf Q5_0 5 301 MB legacy; medium, balanced quality - prefer using Q4_K_M
SmolVLM2-500M-Video-Instruct-Q5_K_M.gguf Q5_K_M 5 326 MB large, very low quality loss - recommended
SmolVLM2-500M-Video-Instruct-Q5_K_S.gguf Q5_K_S 5 319 MB large, low quality loss - recommended
SmolVLM2-500M-Video-Instruct-Q6_K.gguf Q6_K 6 418 MB very large, extremely low quality loss
SmolVLM2-500M-Video-Instruct-Q8_0.gguf Q8_0 8 437 MB very large, extremely low quality loss - not recommended
SmolVLM2-500M-Video-Instruct-f16.gguf f16 16 820 MB
SmolVLM2-500M-Video-Instruct-mmproj-f16.gguf f16 16 199 MB

Quantized with llama.cpp b5501