---

Gemma-3-12b-it-GGUF

Original Model

google/gemma-3-12b-it

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: gemma-instruct

  • Prompt string

    <bos><start_of_turn>user
    {user_message}<end_of_turn>
    <start_of_turn>model
    {model_message}<end_of_turn>model
    

• Context size: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-3-12b-it-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template gemma-instruct \
    --ctx-size 128000 \
    --model-name gemma-3-12b
  

• Run as LlamaEdge command app

  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:gemma-3-12b-it-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template gemma-instruct \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
gemma-3-12b-it-Q2_K.gguf	Q2_K	2	4.77 GB	smallest, significant quality loss - not recommended for most purposes
gemma-3-12b-it-Q3_K_L.gguf	Q3_K_L	3	6.48 GB	small, substantial quality loss
gemma-3-12b-it-Q3_K_M.gguf	Q3_K_M	3	6.01 GB	very small, high quality loss
gemma-3-12b-it-Q3_K_S.gguf	Q3_K_S	3	5.46 GB	very small, high quality loss
gemma-3-12b-it-Q4_0.gguf	Q4_0	4	6.89 GB	legacy; small, very high quality loss - prefer using Q3_K_M
gemma-3-12b-it-Q4_K_M.gguf	Q4_K_M	4	7.30 GB	medium, balanced quality - recommended
gemma-3-12b-it-Q4_K_S.gguf	Q4_K_S	4	6.94 GB	small, greater quality loss
gemma-3-12b-it-Q5_0.gguf	Q5_0	5	8.23 GB	legacy; medium, balanced quality - prefer using Q4_K_M
gemma-3-12b-it-Q5_K_M.gguf	Q5_K_M	5	8.44 GB	large, very low quality loss - recommended
gemma-3-12b-it-Q5_K_S.gguf	Q5_K_S	5	8.23 GB	large, low quality loss - recommended
gemma-3-12b-it-Q6_K.gguf	Q6_K	6	9.66 GB	very large, extremely low quality loss
gemma-3-12b-it-Q8_0.gguf	Q8_0	8	12.5 GB	very large, extremely low quality loss - not recommended
gemma-3-12b-it-f16.gguf	f16	16	23.5 GB
gemma-3-12b-it-mmproj-f16.gguf	f16	16	854 MB

Quantized with llama.cpp b4875