jina-embeddings-v2-small-en-GGUF

Original Model

jinaai/jina-embeddings-v2-small-en

Run with LlamaEdge

  • LlamaEdge version: v0.14.17

  • Prompt template

    • Prompt type: embedding
  • Context size: 8192

  • Embedding dim: 512

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:jina-embeddings-v2-small-en-f16.gguf \
      llama-api-server.wasm \
      --prompt-template embedding \
      --ctx-size 8192 \
      --model-name jina-embeddings-v2-small-en
    

Quantized GGUF Models

Name Quant method Bits Size Use case
jina-embeddings-v2-small-en-Q2_K.gguf Q2_K 2 19.7 MB smallest, significant quality loss - not recommended for most purposes
jina-embeddings-v2-small-en-Q3_K_L.gguf Q3_K_L 3 22.4 MB small, substantial quality loss
jina-embeddings-v2-small-en-Q3_K_M.gguf Q3_K_M 3 21.6 MB very small, high quality loss
jina-embeddings-v2-small-en-Q3_K_S.gguf Q3_K_S 3 20.7 MB very small, high quality loss
jina-embeddings-v2-small-en-Q4_0.gguf Q4_0 4 23.0 MB legacy; small, very high quality loss - prefer using Q3_K_M
jina-embeddings-v2-small-en-Q4_K_M.gguf Q4_K_M 4 23.6 MB medium, balanced quality - recommended
jina-embeddings-v2-small-en-Q4_K_S.gguf Q4_K_S 4 23.1 MB small, greater quality loss
jina-embeddings-v2-small-en-Q5_0.gguf Q5_0 5 25.1 MB legacy; medium, balanced quality - prefer using Q4_K_M
jina-embeddings-v2-small-en-Q5_K_M.gguf Q5_K_M 5 25.4 MB large, very low quality loss - recommended
jina-embeddings-v2-small-en-Q5_K_S.gguf Q5_K_S 5 25.1 MB large, low quality loss - recommended
jina-embeddings-v2-small-en-Q6_K.gguf Q6_K 6 27.3 MB very large, extremely low quality loss
jina-embeddings-v2-small-en-Q8_0.gguf Q8_0 8 35.1 MB very large, extremely low quality loss - not recommended
jina-embeddings-v2-small-en-f16.gguf f16 16 65.5 MB very large, extremely low quality loss - not recommended

Quantized with llama.cpp b4273

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GGUF
Model size
32.4M params
Architecture
jina-bert-v2
Hardware compatibility
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