---

Qwen2-VL-2B-Instruct-GGUF

Original Model

Qwen/Qwen2-VL-2B-Instruct

Run with LlamaEdge

• LlamaEdge version: v0.16.0

• Prompt template

  • Prompt type: qwen2-vision

  • Prompt string

    <|im_start|>system
    {system_prompt}<|im_end|>
    <|im_start|>user
    <|vision_start|>{image_placeholder}<|vision_end|>{user_prompt}<|im_end|>
    <|im_start|>assistant
    

• Context size: 32000

• Run as LlamaEdge service

  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:Qwen2-VL-2B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Qwen2-VL-2B-Instruct \
    --prompt-template qwen2-vision \
    --llava-mmproj Qwen2-VL-2B-Instruct-vision-encoder.gguf \
    --ctx-size 32000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Qwen2-VL-2B-Instruct-Q2_K.gguf	Q2_K	2	676 MB	smallest, significant quality loss - not recommended for most purposes
Qwen2-VL-2B-Instruct-Q3_K_L.gguf	Q3_K_L	3	880 MB	small, substantial quality loss
Qwen2-VL-2B-Instruct-Q3_K_M.gguf	Q3_K_M	3	824 MB	very small, high quality loss
Qwen2-VL-2B-Instruct-Q3_K_S.gguf	Q3_K_S	3	761 MB	very small, high quality loss
Qwen2-VL-2B-Instruct-Q4_0.gguf	Q4_0	4	935 MB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2-VL-2B-Instruct-Q4_K_M.gguf	Q4_K_M	4	986 MB	medium, balanced quality - recommended
Qwen2-VL-2B-Instruct-Q4_K_S.gguf	Q4_K_S	4	940 MB	small, greater quality loss
Qwen2-VL-2B-Instruct-Q5_0.gguf	Q5_0	5	1.10 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2-VL-2B-Instruct-Q5_K_M.gguf	Q5_K_M	5	1.13 GB	large, very low quality loss - recommended
Qwen2-VL-2B-Instruct-Q5_K_S.gguf	Q5_K_S	5	1.10 GB	large, low quality loss - recommended
Qwen2-VL-2B-Instruct-Q6_K.gguf	Q6_K	6	1.27 GB	very large, extremely low quality loss
Qwen2-VL-2B-Instruct-Q8_0.gguf	Q8_0	8	1.65 GB	very large, extremely low quality loss - not recommended
Qwen2-VL-2B-Instruct-f16.gguf	f16	16	3.09 GB
Qwen2-VL-2B-Instruct-vision-encoder.gguf	f16	16	2.66 GB

Quantized with llama.cpp b4329