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SmolVLM2-2.2B-Instruct-GGUF

Original Model

HuggingFaceTB/SmolVLM2-2.2B-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:SmolVLM2-2.2B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template smol-vision \
    --llava-mmproj SmolVLM2-2.2B-Instruct-mmproj-f16.gguf \
    --model-name SmolVLM2-2.2B-Instruct \
    --ctx-size 2048
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
SmolVLM2-2.2B-Instruct-Q2_K.gguf	Q2_K	2	708 MB	smallest, significant quality loss - not recommended for most purposes
SmolVLM2-2.2B-Instruct-Q3_K_L.gguf	Q3_K_L	3	976 MB	small, substantial quality loss
SmolVLM2-2.2B-Instruct-Q3_K_M.gguf	Q3_K_M	3	904 MB	very small, high quality loss
SmolVLM2-2.2B-Instruct-Q3_K_S.gguf	Q3_K_S	3	820 MB	very small, high quality loss
SmolVLM2-2.2B-Instruct-Q4_0.gguf	Q4_0	4	1.05 GB	legacy; small, very high quality loss - prefer using Q3_K_M
SmolVLM2-2.2B-Instruct-Q4_K_M.gguf	Q4_K_M	4	1.11 GB	medium, balanced quality - recommended
SmolVLM2-2.2B-Instruct-Q4_K_S.gguf	Q4_K_S	4	1.06 GB	small, greater quality loss
SmolVLM2-2.2B-Instruct-Q5_0.gguf	Q5_0	5	1.26 GB	legacy; medium, balanced quality - prefer using Q4_K_M
SmolVLM2-2.2B-Instruct-Q5_K_M.gguf	Q5_K_M	5	1.30 GB	large, very low quality loss - recommended
SmolVLM2-2.2B-Instruct-Q5_K_S.gguf	Q5_K_S	5	1.26 GB	large, low quality loss - recommended
SmolVLM2-2.2B-Instruct-Q6_K.gguf	Q6_K	6	1.49 GB	very large, extremely low quality loss
SmolVLM2-2.2B-Instruct-Q8_0.gguf	Q8_0	8	1.93 GB	very large, extremely low quality loss - not recommended
SmolVLM2-2.2B-Instruct-f16.gguf	f16	16	3.63 GB
SmolVLM2-2.2B-Instruct-mmproj-f16.gguf	f16	16	872 MB

Quantized with llama.cpp b5501