second-state/embeddinggemma-300m-GGUF

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embeddinggemma-300m-Embedding-GGUF

Original Model

google/embeddinggemma-300m

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: embedding

• Context size: 2048

• Embedding size: 128, 256, 512, 768

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:embeddinggemma-300m-f16.gguf \
    llama-api-server.wasm \
    --prompt-template embedding \
    --ctx-size 768 \
    --model-name embeddinggemma-300m
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
embeddinggemma-300m-Q2_K.gguf	Q2_K	2	212 MB	smallest, significant quality loss - not recommended for most purposes
embeddinggemma-300m-Q3_K_L.gguf	Q3_K_L	3	227 MB	small, substantial quality loss
embeddinggemma-300m-Q3_K_M.gguf	Q3_K_M	3	224 MB	very small, high quality loss
embeddinggemma-300m-Q3_K_S.gguf	Q3_K_S	3	218 MB	very small, high quality loss
embeddinggemma-300m-Q4_0.gguf	Q4_0	4	229 MB	legacy; small, very high quality loss - prefer using Q3_K_M
embeddinggemma-300m-Q4_K_M.gguf	Q4_K_M	4	236 MB	medium, balanced quality - recommended
embeddinggemma-300m-Q4_K_S.gguf	Q4_K_S	4	232 MB	small, greater quality loss
embeddinggemma-300m-Q5_0.gguf	Q5_0	5	242 MB	legacy; medium, balanced quality - prefer using Q4_K_M
embeddinggemma-300m-Q5_K_M.gguf	Q5_K_M	5	247 MB	large, very low quality loss - recommended
embeddinggemma-300m-Q5_K_S.gguf	Q5_K_S	5	243 MB	large, low quality loss - recommended
embeddinggemma-300m-Q6_K.gguf	Q6_K	6	260 MB	very large, extremely low quality loss
embeddinggemma-300m-Q8_0.gguf	Q8_0	8	329 MB	very large, extremely low quality loss - not recommended
embeddinggemma-300m-f16.gguf	f16	16	616 MB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b6397