second-state/nomic-embed-text-v1.5-GGUF

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Nomic-embed-text-v1.5-Embedding-GGUF

Original Model

nomic-ai/nomic-embed-text-v1.5

Run with LlamaEdge

• LlamaEdge version: v0.14.17

• Prompt template

  • Prompt type: embedding

• Context size: 768

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:nomic-embed-text-v1.5-f16.gguf \
    llama-api-server.wasm \
    --prompt-template embedding \
    --ctx-size 768 \
    --model-name nomic-embed-text-v1.5
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
nomic-embed-text-v1.5-Q2_K.gguf	Q2_K	2	60.8 MB	smallest, significant quality loss - not recommended for most purposes
nomic-embed-text-v1.5-Q3_K_L.gguf	Q3_K_L	3	80.6 MB	small, substantial quality loss
nomic-embed-text-v1.5-Q3_K_M.gguf	Q3_K_M	3	76.2 MB	very small, high quality loss
nomic-embed-text-v1.5-Q3_K_S.gguf	Q3_K_S	3	68.7 MB	very small, high quality loss
nomic-embed-text-v1.5-Q4_0.gguf	Q4_0	4	83.7 MB	legacy; small, very high quality loss - prefer using Q3_K_M
nomic-embed-text-v1.5-Q4_K_M.gguf	Q4_K_M	4	90.0 MB	medium, balanced quality - recommended
nomic-embed-text-v1.5-Q4_K_S.gguf	Q4_K_S	4	84.0 MB	small, greater quality loss
nomic-embed-text-v1.5-Q5_0.gguf	Q5_0	5	97.9 MB	legacy; medium, balanced quality - prefer using Q4_K_M
nomic-embed-text-v1.5-Q5_K_M.gguf	Q5_K_M	5	103 MB	large, very low quality loss - recommended
nomic-embed-text-v1.5-Q5_K_S.gguf	Q5_K_S	5	97.9 MB	large, low quality loss - recommended
nomic-embed-text-v1.5-Q6_K.gguf	Q6_K	6	113 MB	very large, extremely low quality loss
nomic-embed-text-v1.5-Q8_0.gguf	Q8_0	8	146 MB	very large, extremely low quality loss - not recommended
nomic-embed-text-v1.5-f16.gguf	f16	16	274 MB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b4120